Bloom Agritech - Le média des filières et des technologies végétales

Sriram Sundradas

· 2h

Our starting point at PutraHack 2026 was a simple question: how could we bring farming tools and guidance together in one centralised system? 🌱 That idea became HomeGrow AI. We wanted to make it easier for users to manage their growing journey without having to piece together advice, schedules, and plant health information from different sources. Building it challenged me to think about how individual features connect into a useful, coherent experience. I’m proud of what we put together and the decisions we worked through as a team. Thank you to my teammates Jayasharma Naidu N.D.Narendran, Zakaria Ali and KISHANT R.KUNASEGARAN for the collaboration, and to FSKTM UPM for organising the hackathon and providing the resources to experiment. #PutraHack2026 #HomeGrowAI #Agritech #Hackathon #UPM

Moise Allambadna

· 3h

I'm excited to share that I've been shortlisted for the Precision Agriculture Incubation Program (PAIP) Cohort 4.0, organised by Precision Field Academy in partnership with Integrated Aerial Precision PAIP is a capacity-building program focused on precision agriculture and digital farming, introducing participants to technologies such as agricultural drones, GIS, remote sensing, and data-driven farm management. What makes this opportunity even more exciting for me is how closely it aligns with my course of study - Agricultural and Bio-environmental Engineering at the Federal polytechnic Bauchi. Seeing how technology can make farming more precise, efficient, and sustainable makes me even more eager to explore the future of agriculture beyond the classroom. I have attended the program's first orientation, I'm looking forward to the learning ahead, the practical insights, and the opportunity to understand how these emerging technologies can be applied to real agricultural challenges. Here's to exploring agriculture at the intersection of engineering, data, and innovation!📈🌾 #PAIPCOHORT4.0 #PrecisionAgriculture #AgriTech #AgriculturalEngineering

Barack Ndenga🇨🇩🇫🇷

· 4h

AGRISAGEAFRIQUE IS LOOKING FOR ITS FIRST TESTERS! What if artificial intelligence could help African farmers better understand the health of their crops—even in areas with limited internet connectivity? I am excited to introduce AgrisageAfrique, my mobile application that puts artificial intelligence to work for African agriculture. The app is now available on Google Play as part of a closed beta test! I am currently seeking motivated individuals to join this testing phase and help improve the project before its public release. Who can participate? - Farmers and agricultural operators; - Agronomists and agricultural technicians; - Agronomy students; - Researchers and agriculture enthusiasts; - Developers and artificial intelligence enthusiasts. The goal of the test: - To test the available features; - To evaluate the user experience; - To report bugs and suggest improvements; - To contribute to the development of a solution designed with the realities of African agriculture in mind. 📩 Would you like to participate? Comment "I’M IN" (or "JE PARTICIPE") or send me a private message on LinkedIn with your Google email address, and I will provide you with the information needed to join the closed beta. Your email address will be used solely to coordinate your participation in the test. 🤝 Every tester counts. Your feedback can help make AgrisageAfrique more useful, more reliable, and better tailored to the needs of those working in the field. AgrisageAfrique — Artificial intelligence in service of African crops. #AgrisageAfrique #AgriTech #ArtificialIntelligence #AfricanAgriculture #Innovation #DRC #GooglePlay #Testers

Abdul Manan

· 4h

Launching a DNA Fingerprint Panel for Maize Varietal Identification: designed for seed purity, built for breeders. I am excited to share a new open-source toolkit for maize varietal identification and seed purity assessment. After a month of development, the DNA Fingerprint Panel is now available. It is a complete, low-compute pipeline that designs minimal SNP panels (48 to 96 markers) to uniquely identify maize varieties with mathematical confidence. --Why this matters: Seed mislabeling costs farmers yield and damages breeders’ reputations. DNA fingerprinting replaces slow, subjective morphology checks with objective, season-independent genetic evidence, all from a laptop with no GPU needed. --What the toolkit does: Scores SNPs by informativeness (MAF, PIC, and discrimination power) Selects minimal panels using greedy and ILP set multicover methods (k=3 separation) Simulates robustness to genotyping error, missing data, and seed mixtures Calibrates match thresholds with ROC/AUC analysis Designs KASP-ready assays with Primer3 and BLAST validation Provides a Streamlit web app for instant variety matching and hybrid verification Key results from validation: A 96-SNP panel separates more than 99% of variety pairs at k=3 Accuracy stays above 95% under 2% genotyping error and 10% missing data Match decisions reach an AUC above 0.99 Tech stack: Python, NumPy, scikit-allel, OR-Tools CP-SAT, Streamlit, Snakemake, Docker Try it yourself: GitHub: link in the comments License: MIT (open for breeding programs, certification bodies, and seed companies) This is part of my work at NeuroCrop, where we are building computational tools for plant breeding and seed systems. If you work in seed certification, plant breeding, or ag genomics, I would welcome the chance to connect and discuss how SNP fingerprinting can strengthen your variety verification pipeline. Haseeb Raza Microinformatics (Pvt.) Limited Muhammad Furqan Raja Muhammad Abu Bakar #plantbreeding #maize #seedpurity #snp #genotyping #dnafingerprinting #agritech #bioinformatics #opensource #neurocrop

Bilyaminu mustapha

· 4h

I'm excited to share that I'll be attending PAIP Cohort 4.0, organized by Precision Field Academy and Integrated Aerial Precision! 🚀 As agriculture across Africa embraces technology, I want to be part of the people driving that change. Through this programme, I look forward to: 🌱 Learning how drones and precision tools improve crop monitoring and yields 📊 Using data-driven insights to support smarter farming decisions 🤝 Connecting with like-minded innovators, mentors, and professionals 🌍 Contributing to a more productive and sustainable agricultural future Thank you to Precision Field Academy, Integrated Aerial Precision, and all the supporting partners, including DJI Agriculture, DevGlobal, Dev-Afrique, AAPA, ISPA, and YPARD, for creating this opportunity. I can't wait to learn, grow, and share my journey with you all. Stay tuned for updates! Are you in precision agriculture or agritech? Let's connect. 👇 #PAIPCohort4 #PrecisionAgriculture #AgriTech #DroneTechnology #SmartFarming #SustainableAgriculture #AfricanAgriculture #YouthInAgriculture #FoodSecurity #AgricultureInnovation #PrecisionFieldAcademy #IntegratedAerialPrecision #Nigeria #ContinuousLearning Agricultural Bank of Egypt

Vijesh Reddy Golamari

· 5h

Competitor pages in our category lead with numbers like "3x faster harvesting" and "thousands of successful accomplishments." I built ours this week with no outcome statistic on it at all. Not out of modesty. We haven't run the studies that would support one — and I've spent two months removing unsourced claims from this company's own files. Six files, then the AI system prompt. So the new use-cases page says, in its second paragraph: you will not find an outcome statistic here. What's on it instead — nine things farmers and extension workers actually use YieldAI Global for, each naming the modules it runs on, every one a real screen in the product. A section called "What it will refuse to answer." Asked for a chemical dose, the product declines and routes the farmer to a local extension officer. Most AI products are built to always answer. This one is built to recognise the questions where a confident wrong number costs a household a season. A table of where market prices come from and how often each updates. India daily via Agmarknet. USA and Canada monthly, via USDA NASS and Statistics Canada. Only India's is daily, and we don't call the other two live. And "What this page does not claim" — five things, including the 54-crop figure that circulated about us and is supported by nothing in our codebase. The honest version of an early-stage company isn't a weaker pitch than the polished one. It's the only one that survives someone checking. agrivisionai.org/use-cases YieldAI Global is live as a web app in India, the USA and Canada. The mobile app has not launched. #agritech #buildinpublic #AI

Farmspherica Innovations Pvt. Ltd.

· 5h

🌱 CAN SENSORS PREDICT CROP STRESS BEFORE FARMERS SEE IT? By the time your crops look thirsty, they have already been losing yield for days. Modern sensors are finally closing that gap by catching distress signals long before the human eye ever could: • 🌡️ Beating Basic Soil Checks: A study using thermal and camera imaging caught early water stress up to 84 hours earlier than standard soil-moisture sensors. • ⏱️ Instant Problem Alerts: Advanced imaging can spot invisible issues—like pest damage or fungal infections—in just 15 to 30 minutes, way before any spots or discoloration show up on the leaves. • 🚁 Smart Aerial Scouting: Drone imaging correctly detected early water stress with over 80% accuracy, days before it became visible. 🔍 THE REALITY CHECK Crop stress builds quietly behind the scenes. Sensors simply catch those early warning signs, giving you the valuable time you need to protect your harvest. 💡 At Farmspherica, we are turning this powerful science into an everyday reality for modern growers. By bringing real-time root zone tracking, automated water chemistry monitoring, and advanced analytics together into one easy-to-use platform, we make proactive hydroponic crop care simple, efficient, and stress-free. 🚜📈 🤝 LET'S WORK TOGETHER We welcome collaborations with companies, CSR foundations, NGOs, farming groups, research institutes, and technology partners working on: • 💧 Water Conservation • 🌱 Sustainable Agriculture • 🌍 Climate Resilience • 👨‍🌾 Farmer Empowerment • 🚀 AgriTech Innovation 📩 If your organization wants to support or build projects in sustainable farming, water saving, or new agri-tech ideas, let's connect! 📚 SOURCES • Research & Study Data: ScienceDirect, "Integrating Thermal Infrared and RGB Imaging for Early Detection of Water Stress" (2025) | PMC, "Early-Stage Detection of Biotic and Abiotic Stress by Chlorophyll Fluorescence Imaging" #AgTech #CropStress #SmartFarming #PrecisionAgriculture #Hydroponics #SustainableFarming #FutureOfFood #Farmspherica #Agribusiness #Innovation #CSR #CSRIndia #ClimateResilience

Rakesh Kushwaha

· 6h

🌱 Driving Agricultural Innovation with Mahadhan Agritech at Shivpuri! We successfully organized a retailers’ meeting at Shivpuri, Madhya Pradesh, with the participation of around 45 retailers and our dealer partners. The meeting focused on agricultural innovation and how Mahadhan Agritech is empowering farmers with advanced crop nutrition solutions to improve crop productivity, quality, and profitability. 🍅 Special focus was given to tomato cultivation, highlighting the role of: 🔹 Croptek – Innovative crop nutrition solutions designed to support balanced nutrient availability and crop performance. 🔹 Solutek – Premium-quality, water-soluble fertilizers (WSF) that support efficient nutrient delivery and help farmers achieve better crop growth and premium-grade produce. Our discussions emphasized the importance of adopting innovative nutrient management practices to meet the evolving needs of modern agriculture and produce high-quality marketable crops. A heartfelt thanks to our dealer partners and all 45 participating retailers for their valuable participation and continued trust in Mahadhan. Together, let’s transform agriculture through innovation, quality, and farmer-centric solutions! #MahadhanAgritech #Croptek #Solutek #AgriculturalInnovation #TomatoCultivation #WaterSolubleFertilizers #FarmerSuccess #Shivpuri #CropNutrition

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Insightara Intelligence

· 6h

Download the Exclusive Sample Report 📘https://lnkd.in/eVbnRTFS Get exclusive insights into the tamarind seed kernel powder market, valued at USD 45 Billion in 2025 and projected to reach USD 78.48 Billion by 2034, growing at a CAGR of 7.2% (2026–2034). #TamarindSeedKernelPowder #SouthKoreaMarket #NaturalIngredients #FoodAdditives #FunctionalFoods #PlantBasedIngredients #FoodProcessing #AgroIndustry #FoodInnovation #SustainableAgriculture #FoodTech #IngredientSupplyChain #FoodManufacturing #FoodResearch #MarketAnalysis #BusinessIntelligence #EmergingMarkets #AgriTech #FoodTrends #FoodIndustryNews #B2BFoodSupply #FoodIngredients #FoodApplications #AgriculturalProducts #FoodSustainability #FoodDevelopment #FoodInnovationTrends #FoodBusiness #MarketGrowth

Harshit Kumar Gupta

· 7h

🌾 I built AgriMind, an AI assistant for Indian farmers, and it's now live! Every season, farmers make big decisions: what to grow, when to water, where to sell. Many of these are made on guesswork. I wanted to see how much AI could help. AgriMind has 5 machine-learning tools and an AI chatbot: 🌱 Crop Production: estimates yield for your district, crop and season, trained on Indian government crop data (1997–2015) 💧 Pre-Irrigation: "Does my field need water today?" Answer 8 simple questions, no sensors needed 💰 Crop Price: estimates mandi prices in ₹ per quintal 🧪 Crop Analysing: suggests the best crop for your soil and weather 🍃 Leaf Prediction: detects plant diseases from a leaf photo (coming soon online) 🤖 AgriMind Assistant: a Gemini-powered chatbot that answers in English, Hindi or Hinglish and uses my models for real numbers What I learned building it: • Training the model was the easy part. Most of the work was connecting it to a real website, handling spellings like "aloo" → Potato or "UP" → Uttar Pradesh, and making the forms simple for non-technical users. • Honesty about accuracy matters. Every result shows a range and a confidence note, because a farmer should never treat an estimate as a guarantee. 🛠️ Tech: Python, scikit-learn, TensorFlow/Keras, FastAPI, React + TypeScript, Gemini API, deployed on Render 📈 Next: live mandi prices, newer crop data and testing with real farmers. 🔗 Try it: https://lnkd.in/gQNuajyQ #AI #MachineLearning #Agriculture #AgriTech #Python #FastAPI #React #IndianFarmers #StudentProject #BuildInPublic

Krishak Jagat

· 7h

Dhanuka Agritech Launches New Herbicide Tembotrax for Maize and Sugarcane Dhanuka Agritech Ltd. has introduced Tembotrax, an early post-emergence herbicide containing Tembotrione 34.4% SC, for weed management in maize and sugarcane cultivation across key agricultural regions of India. Tembotrax is a systemic herbicide that inhibits the enzyme 4-hydroxyphenylpyruvate dioxygenase (HPPD), disrupting carotenoid biosynthesis in susceptible weeds. This leads to visible bleaching symptoms and helps control weeds while maintaining crop selectivity when used as recommended. Read more: https://lnkd.in/gyChyndW

EL MNARA

· 8h

Selon vous, laquelle de ces tendances aura le plus d’impact sur l’agriculture dans les prochaines années ? 🌱 L’agriculture de demain est déjà en train de se construire. Face au stress hydrique, aux changements climatiques et à la nécessité de produire davantage avec moins de ressources, le secteur agricole évolue rapidement. 📊 Agriculture de précision 💧 Gestion intelligente de l’eau 🤖 Intelligence artificielle, IoT & Data 🌿 Serres intelligentes et agriculture contrôlée Ces technologies ne remplacent pas l’agriculteur. Elles lui permettent de mieux comprendre, mieux anticiper et mieux piloter son exploitation. 👉 Faites défiler le carrousel pour découvrir 4 tendances qui façonnent l’agriculture de demain. #Agriculture #AgriTech #AgricultureDurable #SmartFarming #InnovationAgricole #IoT #IntelligenceArtificielle #tunisie

Govindharaj S

· 8h

🌱🚀 From Namakkal to Hyderabad — A Journey of Innovation, Teamwork & AI! An unforgettable experience participating in a hackathon at TKR College of Engineering & Technology, Hyderabad, with my team NEXUS! 🤝💻 🌾 Project: Farm AI – AI-Powered Smart Farming Assistant Our project aims to empower farmers through AI-based crop recommendations, disease detection, smart irrigation, and intelligent farming assistance. Beyond the project, the Hyderabad journey, teamwork, challenges, and new learnings made this experience truly special. ❤️ One journey. One team. One mission — making farming smarter with AI! 🌍🌱 #FarmAI #Hackathon #HyderabadDiaries #AgriTech #ArtificialIntelligence #Teamwork #Innovation

OPSFAM - Operating System for Agricultural Management

· 8h

🌱 INTRODUCING OPSFAM | BUILDING THE INTELLIGENCE LAYER FOR AGRICULTURE 🌱 Agriculture feeds nations, supports livelihoods and powers economies. Yet, across much of the agricultural value chain, the people and businesses responsible for making it work still face fragmented systems, limited access to actionable information, inefficient operations and disconnected markets. Farmers need better tools to manage their farms and make informed decisions. Farm managers need visibility into daily operations, resources, labour and productivity. Agribusinesses need more efficient ways to coordinate activities, manage supply chains and grow their businesses. Buyers need reliable information about supply, quality, availability and procurement. Cooperatives and financial institutions need better visibility into agricultural activities to support their members, assess opportunities and make informed decisions. These challenges are connected. We believe the solutions should be connected, too. Why Opsfam exists Opsfam is an AI-powered agricultural operating system we are building to help connect the people, businesses and institutions that make agriculture work. Our goal is to move agricultural operations beyond disconnected tools and manual processes toward a more intelligent, data-driven and connected ecosystem. Through AI-powered tools and digital workflows, Opsfam is being built to support: 🌾 Farm operations — helping farmers and farm managers organise activities, monitor progress and make better operational decisions. 🤖 Agricultural AI — bringing intelligent assistance closer to the people making everyday agricultural decisions. 🔗 Connected agricultural commerce — helping connect production, buyers and businesses across the value chain. 📦 Storage and logistics — supporting better coordination of agricultural movement, handling and distribution. 📊 Agricultural intelligence — turning operational information into useful insights for planning, productivity and decision-making. 🤝 A connected ecosystem — creating opportunities for farmers, cooperatives, agribusinesses, buyers and institutions to work more effectively together. We envision a future where agricultural stakeholders have access to the tools, intelligence and connections they need to operate more efficiently, make informed decisions and unlock new opportunities. We know that transforming agriculture requires understanding the realities of the people who work in it, building useful technology, listening to users and improving continuously. That is the journey we are beginning with Opsfam. We are building for agriculture. We are building with AI. And we are building for a more connected agricultural future. 🌍 Learn more: https://www.opsfam.com #Opsfam #OpsfamAI #Agritech #ArtificialIntelligence #DigitalAgriculture #AgriculturalInnovation #FutureOfAgriculture

Sriram Sundradas

· 2h

Our starting point at PutraHack 2026 was a simple question: how could we bring farming tools and guidance together in one centralised system? 🌱 That idea became HomeGrow AI. We wanted to make it easier for users to manage their growing journey without having to piece together advice, schedules, and plant health information from different sources. Building it challenged me to think about how individual features connect into a useful, coherent experience. I’m proud of what we put together and the decisions we worked through as a team. Thank you to my teammates Jayasharma Naidu N.D.Narendran, Zakaria Ali and KISHANT R.KUNASEGARAN for the collaboration, and to FSKTM UPM for organising the hackathon and providing the resources to experiment. #PutraHack2026 #HomeGrowAI #Agritech #Hackathon #UPM

Moise Allambadna

· 3h

I'm excited to share that I've been shortlisted for the Precision Agriculture Incubation Program (PAIP) Cohort 4.0, organised by Precision Field Academy in partnership with Integrated Aerial Precision PAIP is a capacity-building program focused on precision agriculture and digital farming, introducing participants to technologies such as agricultural drones, GIS, remote sensing, and data-driven farm management. What makes this opportunity even more exciting for me is how closely it aligns with my course of study - Agricultural and Bio-environmental Engineering at the Federal polytechnic Bauchi. Seeing how technology can make farming more precise, efficient, and sustainable makes me even more eager to explore the future of agriculture beyond the classroom. I have attended the program's first orientation, I'm looking forward to the learning ahead, the practical insights, and the opportunity to understand how these emerging technologies can be applied to real agricultural challenges. Here's to exploring agriculture at the intersection of engineering, data, and innovation!📈🌾 #PAIPCOHORT4.0 #PrecisionAgriculture #AgriTech #AgriculturalEngineering

Barack Ndenga🇨🇩🇫🇷

· 4h

AGRISAGEAFRIQUE IS LOOKING FOR ITS FIRST TESTERS! What if artificial intelligence could help African farmers better understand the health of their crops—even in areas with limited internet connectivity? I am excited to introduce AgrisageAfrique, my mobile application that puts artificial intelligence to work for African agriculture. The app is now available on Google Play as part of a closed beta test! I am currently seeking motivated individuals to join this testing phase and help improve the project before its public release. Who can participate? - Farmers and agricultural operators; - Agronomists and agricultural technicians; - Agronomy students; - Researchers and agriculture enthusiasts; - Developers and artificial intelligence enthusiasts. The goal of the test: - To test the available features; - To evaluate the user experience; - To report bugs and suggest improvements; - To contribute to the development of a solution designed with the realities of African agriculture in mind. 📩 Would you like to participate? Comment "I’M IN" (or "JE PARTICIPE") or send me a private message on LinkedIn with your Google email address, and I will provide you with the information needed to join the closed beta. Your email address will be used solely to coordinate your participation in the test. 🤝 Every tester counts. Your feedback can help make AgrisageAfrique more useful, more reliable, and better tailored to the needs of those working in the field. AgrisageAfrique — Artificial intelligence in service of African crops. #AgrisageAfrique #AgriTech #ArtificialIntelligence #AfricanAgriculture #Innovation #DRC #GooglePlay #Testers

Abdul Manan

· 4h

Launching a DNA Fingerprint Panel for Maize Varietal Identification: designed for seed purity, built for breeders. I am excited to share a new open-source toolkit for maize varietal identification and seed purity assessment. After a month of development, the DNA Fingerprint Panel is now available. It is a complete, low-compute pipeline that designs minimal SNP panels (48 to 96 markers) to uniquely identify maize varieties with mathematical confidence. --Why this matters: Seed mislabeling costs farmers yield and damages breeders’ reputations. DNA fingerprinting replaces slow, subjective morphology checks with objective, season-independent genetic evidence, all from a laptop with no GPU needed. --What the toolkit does: Scores SNPs by informativeness (MAF, PIC, and discrimination power) Selects minimal panels using greedy and ILP set multicover methods (k=3 separation) Simulates robustness to genotyping error, missing data, and seed mixtures Calibrates match thresholds with ROC/AUC analysis Designs KASP-ready assays with Primer3 and BLAST validation Provides a Streamlit web app for instant variety matching and hybrid verification Key results from validation: A 96-SNP panel separates more than 99% of variety pairs at k=3 Accuracy stays above 95% under 2% genotyping error and 10% missing data Match decisions reach an AUC above 0.99 Tech stack: Python, NumPy, scikit-allel, OR-Tools CP-SAT, Streamlit, Snakemake, Docker Try it yourself: GitHub: link in the comments License: MIT (open for breeding programs, certification bodies, and seed companies) This is part of my work at NeuroCrop, where we are building computational tools for plant breeding and seed systems. If you work in seed certification, plant breeding, or ag genomics, I would welcome the chance to connect and discuss how SNP fingerprinting can strengthen your variety verification pipeline. Haseeb Raza Microinformatics (Pvt.) Limited Muhammad Furqan Raja Muhammad Abu Bakar #plantbreeding #maize #seedpurity #snp #genotyping #dnafingerprinting #agritech #bioinformatics #opensource #neurocrop

Bilyaminu mustapha

· 4h

I'm excited to share that I'll be attending PAIP Cohort 4.0, organized by Precision Field Academy and Integrated Aerial Precision! 🚀 As agriculture across Africa embraces technology, I want to be part of the people driving that change. Through this programme, I look forward to: 🌱 Learning how drones and precision tools improve crop monitoring and yields 📊 Using data-driven insights to support smarter farming decisions 🤝 Connecting with like-minded innovators, mentors, and professionals 🌍 Contributing to a more productive and sustainable agricultural future Thank you to Precision Field Academy, Integrated Aerial Precision, and all the supporting partners, including DJI Agriculture, DevGlobal, Dev-Afrique, AAPA, ISPA, and YPARD, for creating this opportunity. I can't wait to learn, grow, and share my journey with you all. Stay tuned for updates! Are you in precision agriculture or agritech? Let's connect. 👇 #PAIPCohort4 #PrecisionAgriculture #AgriTech #DroneTechnology #SmartFarming #SustainableAgriculture #AfricanAgriculture #YouthInAgriculture #FoodSecurity #AgricultureInnovation #PrecisionFieldAcademy #IntegratedAerialPrecision #Nigeria #ContinuousLearning Agricultural Bank of Egypt

Vijesh Reddy Golamari

· 5h

Competitor pages in our category lead with numbers like "3x faster harvesting" and "thousands of successful accomplishments." I built ours this week with no outcome statistic on it at all. Not out of modesty. We haven't run the studies that would support one — and I've spent two months removing unsourced claims from this company's own files. Six files, then the AI system prompt. So the new use-cases page says, in its second paragraph: you will not find an outcome statistic here. What's on it instead — nine things farmers and extension workers actually use YieldAI Global for, each naming the modules it runs on, every one a real screen in the product. A section called "What it will refuse to answer." Asked for a chemical dose, the product declines and routes the farmer to a local extension officer. Most AI products are built to always answer. This one is built to recognise the questions where a confident wrong number costs a household a season. A table of where market prices come from and how often each updates. India daily via Agmarknet. USA and Canada monthly, via USDA NASS and Statistics Canada. Only India's is daily, and we don't call the other two live. And "What this page does not claim" — five things, including the 54-crop figure that circulated about us and is supported by nothing in our codebase. The honest version of an early-stage company isn't a weaker pitch than the polished one. It's the only one that survives someone checking. agrivisionai.org/use-cases YieldAI Global is live as a web app in India, the USA and Canada. The mobile app has not launched. #agritech #buildinpublic #AI

Farmspherica Innovations Pvt. Ltd.

· 5h

🌱 CAN SENSORS PREDICT CROP STRESS BEFORE FARMERS SEE IT? By the time your crops look thirsty, they have already been losing yield for days. Modern sensors are finally closing that gap by catching distress signals long before the human eye ever could: • 🌡️ Beating Basic Soil Checks: A study using thermal and camera imaging caught early water stress up to 84 hours earlier than standard soil-moisture sensors. • ⏱️ Instant Problem Alerts: Advanced imaging can spot invisible issues—like pest damage or fungal infections—in just 15 to 30 minutes, way before any spots or discoloration show up on the leaves. • 🚁 Smart Aerial Scouting: Drone imaging correctly detected early water stress with over 80% accuracy, days before it became visible. 🔍 THE REALITY CHECK Crop stress builds quietly behind the scenes. Sensors simply catch those early warning signs, giving you the valuable time you need to protect your harvest. 💡 At Farmspherica, we are turning this powerful science into an everyday reality for modern growers. By bringing real-time root zone tracking, automated water chemistry monitoring, and advanced analytics together into one easy-to-use platform, we make proactive hydroponic crop care simple, efficient, and stress-free. 🚜📈 🤝 LET'S WORK TOGETHER We welcome collaborations with companies, CSR foundations, NGOs, farming groups, research institutes, and technology partners working on: • 💧 Water Conservation • 🌱 Sustainable Agriculture • 🌍 Climate Resilience • 👨‍🌾 Farmer Empowerment • 🚀 AgriTech Innovation 📩 If your organization wants to support or build projects in sustainable farming, water saving, or new agri-tech ideas, let's connect! 📚 SOURCES • Research & Study Data: ScienceDirect, "Integrating Thermal Infrared and RGB Imaging for Early Detection of Water Stress" (2025) | PMC, "Early-Stage Detection of Biotic and Abiotic Stress by Chlorophyll Fluorescence Imaging" #AgTech #CropStress #SmartFarming #PrecisionAgriculture #Hydroponics #SustainableFarming #FutureOfFood #Farmspherica #Agribusiness #Innovation #CSR #CSRIndia #ClimateResilience

Rakesh Kushwaha

· 6h

🌱 Driving Agricultural Innovation with Mahadhan Agritech at Shivpuri! We successfully organized a retailers’ meeting at Shivpuri, Madhya Pradesh, with the participation of around 45 retailers and our dealer partners. The meeting focused on agricultural innovation and how Mahadhan Agritech is empowering farmers with advanced crop nutrition solutions to improve crop productivity, quality, and profitability. 🍅 Special focus was given to tomato cultivation, highlighting the role of: 🔹 Croptek – Innovative crop nutrition solutions designed to support balanced nutrient availability and crop performance. 🔹 Solutek – Premium-quality, water-soluble fertilizers (WSF) that support efficient nutrient delivery and help farmers achieve better crop growth and premium-grade produce. Our discussions emphasized the importance of adopting innovative nutrient management practices to meet the evolving needs of modern agriculture and produce high-quality marketable crops. A heartfelt thanks to our dealer partners and all 45 participating retailers for their valuable participation and continued trust in Mahadhan. Together, let’s transform agriculture through innovation, quality, and farmer-centric solutions! #MahadhanAgritech #Croptek #Solutek #AgriculturalInnovation #TomatoCultivation #WaterSolubleFertilizers #FarmerSuccess #Shivpuri #CropNutrition

"Download the Exclusive Sample Report 📘https://lnkd.in/dDhG3iJG Get exclusive insights into the liquid phosphate market, valued at USD 1.2 Billion in 2025 and projected to reach USD 1.88 Billion by 2034, growing at a CAGR of 5.8% (2026–2034).  #LiquidPhosphate #JapanMarket #FertilizerIndustry #AgriculturalChemicals #PhosphateChemicals #FertilizerProduction #SustainableFarming #AgriTech #ChemicalManufacturing #MarketResearch #BusinessIntelligence #MarketTrends #IndustryAnalysis #ChemicalInnovation #FertilizerSolutions #AgroChemicals #EmergingMarkets #SupplyChainInsights #ManufacturingJapan #ChemicalTechnology #AgricultureTechnology #MarketForecast #InvestInChemicals #IndustrialChemicals #FertilizerApplications #ChemicalResearch #MarketGrowth #B2BNetworking #IndustryInsights"

"Download the Exclusive Sample Report 📘https://lnkd.in/d5X3QCt3 Get exclusive insights into the sulfur fertilizers professional market, valued at USD 3.2 Billion in 2025 and projected to reach USD 5.02 Billion by 2034, growing at a CAGR of 5.8% (2026–2034).  #SulfurFertilizers #JapanAgriculture #FertilizerMarket #AgriTech #CropNutrition #SoilHealth #FarmingInnovation #AgroChemicals #SustainableFarming #PrecisionAgriculture #FertilizerTechnology #AgriculturalResearch #MarketIntelligence #AgriBusiness #FertilizerIndustry #EmergingAgTech #CropYield #SoilAmendments #AgroIndustry #FertilizerApplications #AgriculturalSolutions #FarmingTrends #AgriInvestments #FertilizerManufacturing #AgroInnovation #MarketAnalysis #AgriculturalDevelopment #FertilizerResearch #AgriMarketTrends #SustainableAgriculture"

Insightara Intelligence

· 6h

Download the Exclusive Sample Report 📘https://lnkd.in/eVbnRTFS Get exclusive insights into the tamarind seed kernel powder market, valued at USD 45 Billion in 2025 and projected to reach USD 78.48 Billion by 2034, growing at a CAGR of 7.2% (2026–2034). #TamarindSeedKernelPowder #SouthKoreaMarket #NaturalIngredients #FoodAdditives #FunctionalFoods #PlantBasedIngredients #FoodProcessing #AgroIndustry #FoodInnovation #SustainableAgriculture #FoodTech #IngredientSupplyChain #FoodManufacturing #FoodResearch #MarketAnalysis #BusinessIntelligence #EmergingMarkets #AgriTech #FoodTrends #FoodIndustryNews #B2BFoodSupply #FoodIngredients #FoodApplications #AgriculturalProducts #FoodSustainability #FoodDevelopment #FoodInnovationTrends #FoodBusiness #MarketGrowth

Harshit Kumar Gupta

· 7h

🌾 I built AgriMind, an AI assistant for Indian farmers, and it's now live! Every season, farmers make big decisions: what to grow, when to water, where to sell. Many of these are made on guesswork. I wanted to see how much AI could help. AgriMind has 5 machine-learning tools and an AI chatbot: 🌱 Crop Production: estimates yield for your district, crop and season, trained on Indian government crop data (1997–2015) 💧 Pre-Irrigation: "Does my field need water today?" Answer 8 simple questions, no sensors needed 💰 Crop Price: estimates mandi prices in ₹ per quintal 🧪 Crop Analysing: suggests the best crop for your soil and weather 🍃 Leaf Prediction: detects plant diseases from a leaf photo (coming soon online) 🤖 AgriMind Assistant: a Gemini-powered chatbot that answers in English, Hindi or Hinglish and uses my models for real numbers What I learned building it: • Training the model was the easy part. Most of the work was connecting it to a real website, handling spellings like "aloo" → Potato or "UP" → Uttar Pradesh, and making the forms simple for non-technical users. • Honesty about accuracy matters. Every result shows a range and a confidence note, because a farmer should never treat an estimate as a guarantee. 🛠️ Tech: Python, scikit-learn, TensorFlow/Keras, FastAPI, React + TypeScript, Gemini API, deployed on Render 📈 Next: live mandi prices, newer crop data and testing with real farmers. 🔗 Try it: https://lnkd.in/gQNuajyQ #AI #MachineLearning #Agriculture #AgriTech #Python #FastAPI #React #IndianFarmers #StudentProject #BuildInPublic

Krishak Jagat

· 7h

Dhanuka Agritech Launches New Herbicide Tembotrax for Maize and Sugarcane Dhanuka Agritech Ltd. has introduced Tembotrax, an early post-emergence herbicide containing Tembotrione 34.4% SC, for weed management in maize and sugarcane cultivation across key agricultural regions of India. Tembotrax is a systemic herbicide that inhibits the enzyme 4-hydroxyphenylpyruvate dioxygenase (HPPD), disrupting carotenoid biosynthesis in susceptible weeds. This leads to visible bleaching symptoms and helps control weeds while maintaining crop selectivity when used as recommended. Read more: https://lnkd.in/gyChyndW

EL MNARA

· 8h

Selon vous, laquelle de ces tendances aura le plus d’impact sur l’agriculture dans les prochaines années ? 🌱 L’agriculture de demain est déjà en train de se construire. Face au stress hydrique, aux changements climatiques et à la nécessité de produire davantage avec moins de ressources, le secteur agricole évolue rapidement. 📊 Agriculture de précision 💧 Gestion intelligente de l’eau 🤖 Intelligence artificielle, IoT & Data 🌿 Serres intelligentes et agriculture contrôlée Ces technologies ne remplacent pas l’agriculteur. Elles lui permettent de mieux comprendre, mieux anticiper et mieux piloter son exploitation. 👉 Faites défiler le carrousel pour découvrir 4 tendances qui façonnent l’agriculture de demain. #Agriculture #AgriTech #AgricultureDurable #SmartFarming #InnovationAgricole #IoT #IntelligenceArtificielle #tunisie

Govindharaj S

· 8h

🌱🚀 From Namakkal to Hyderabad — A Journey of Innovation, Teamwork & AI! An unforgettable experience participating in a hackathon at TKR College of Engineering & Technology, Hyderabad, with my team NEXUS! 🤝💻 🌾 Project: Farm AI – AI-Powered Smart Farming Assistant Our project aims to empower farmers through AI-based crop recommendations, disease detection, smart irrigation, and intelligent farming assistance. Beyond the project, the Hyderabad journey, teamwork, challenges, and new learnings made this experience truly special. ❤️ One journey. One team. One mission — making farming smarter with AI! 🌍🌱 #FarmAI #Hackathon #HyderabadDiaries #AgriTech #ArtificialIntelligence #Teamwork #Innovation

OPSFAM - Operating System for Agricultural Management

· 8h

🌱 INTRODUCING OPSFAM | BUILDING THE INTELLIGENCE LAYER FOR AGRICULTURE 🌱 Agriculture feeds nations, supports livelihoods and powers economies. Yet, across much of the agricultural value chain, the people and businesses responsible for making it work still face fragmented systems, limited access to actionable information, inefficient operations and disconnected markets. Farmers need better tools to manage their farms and make informed decisions. Farm managers need visibility into daily operations, resources, labour and productivity. Agribusinesses need more efficient ways to coordinate activities, manage supply chains and grow their businesses. Buyers need reliable information about supply, quality, availability and procurement. Cooperatives and financial institutions need better visibility into agricultural activities to support their members, assess opportunities and make informed decisions. These challenges are connected. We believe the solutions should be connected, too. Why Opsfam exists Opsfam is an AI-powered agricultural operating system we are building to help connect the people, businesses and institutions that make agriculture work. Our goal is to move agricultural operations beyond disconnected tools and manual processes toward a more intelligent, data-driven and connected ecosystem. Through AI-powered tools and digital workflows, Opsfam is being built to support: 🌾 Farm operations — helping farmers and farm managers organise activities, monitor progress and make better operational decisions. 🤖 Agricultural AI — bringing intelligent assistance closer to the people making everyday agricultural decisions. 🔗 Connected agricultural commerce — helping connect production, buyers and businesses across the value chain. 📦 Storage and logistics — supporting better coordination of agricultural movement, handling and distribution. 📊 Agricultural intelligence — turning operational information into useful insights for planning, productivity and decision-making. 🤝 A connected ecosystem — creating opportunities for farmers, cooperatives, agribusinesses, buyers and institutions to work more effectively together. We envision a future where agricultural stakeholders have access to the tools, intelligence and connections they need to operate more efficiently, make informed decisions and unlock new opportunities. We know that transforming agriculture requires understanding the realities of the people who work in it, building useful technology, listening to users and improving continuously. That is the journey we are beginning with Opsfam. We are building for agriculture. We are building with AI. And we are building for a more connected agricultural future. 🌍 Learn more: https://www.opsfam.com #Opsfam #OpsfamAI #Agritech #ArtificialIntelligence #DigitalAgriculture #AgriculturalInnovation #FutureOfAgriculture