Redes Sociales

Prince Gupta

Recently participated in Bharatiya Antariksh Hackathon (BAH) 2026, a nationwide recognized hackathon organized by ISRO. While we didn't make it to the finals, the experience was incredibly rewarding. Problem Statement: AI-driven crop type & moisture stress detection with irrigation advisory across growth stages, using optical & microwave satellite data. Our Solution - AFOP : We proposed an 8-day satellite intelligence pipeline that fuses SAR and optical data to track crop growth stages through cloud cover, calculates real-time water deficit, and delivers irrigation advisories straight to canal operators and farmers via SMS — no internet needed. The PPT attached speaks to the dedicated effort behind it. Balancing a 9-6 on-site internship at MNIT Jaipur while pulling this together wasn't easy — my role was bringing the team's research together into the final PPT and diagrams using draw.io. Team Day Zero — Riya Giyamalani, Nityaam Changeriya, Shahanaj Khan — thank you for grinding through this with me. Onward to the next one. #ISRO #BharatiyaAntarikshHackathon2026 #Hackathon #AgriTech #RemoteSensing

Maharshi Patel

🌾 Artificial Intelligence in Agriculture: From Multisource Geospatial Data to Intelligent Decision Making The transformation of agriculture is increasingly driven by the convergence of Artificial Intelligence, Earth Observation, Geospatial Science, and Data Analytics. Modern agricultural systems generate large volumes of heterogeneous data from multispectral and SAR satellite observations, meteorological datasets, environmental variables, and field level measurements. The real challenge is not merely data acquisition, but the ability to integrate, process, model, and translate these complex datasets into actionable intelligence. Through the integration of Sentinel-1, Sentinel-2, CHIRPS, NASA POWER, Google Earth Engine, GIS, Machine Learning, Deep Learning, and Web GIS technologies, it becomes possible to develop data-driven solutions for: 🔹 Spatiotemporal crop monitoring 🔹 Crop health and stress assessment 🔹 Yield prediction and forecasting 🔹 Soil and environmental parameter estimation 🔹 Weather informed agricultural planning 🔹 Site-specific irrigation and input optimization 🔹 Early risk and anomaly detection The fundamental workflow can be represented as: Earth Observation → Data Integration → Feature Engineering → AI/ML Modelling → Prediction → Decision Support The future of agriculture will not be defined by data availability alone, but by our ability to transform multidimensional geospatial data into reliable, interpretable, and scalable decision-support systems. As an Agriculture Analytics student, I am particularly interested in exploring the intersection of Remote Sensing, GIS, Artificial Intelligence, Machine Learning, and Agricultural Data Science to address real-world challenges and contribute to more efficient, resilient, and sustainable agricultural systems. From data to intelligence. From intelligence to action. From action to sustainable impact. 🌍🌱 #AgricultureAnalytics #ArtificialIntelligence #MachineLearning #DeepLearning #RemoteSensing #EarthObservation #GIS #GeospatialAI #PrecisionAgriculture #AgriTech #DataScience #SatelliteData #SustainableAgriculture #SmartAgriculture #AgriculturalTechnology #AIinAgriculture

Akshay Dhage

@AkshayD130243

𝗚𝗹𝗼𝗯𝗮𝗹 𝗗𝗿𝗼𝗻𝗲 𝗡𝗼𝘇𝘇𝗹𝗲𝘀 𝗠𝗮𝗿𝗸𝗲𝘁 𝗚𝗿𝗮𝗯 𝗬𝗼𝘂𝗿 𝗙𝗿𝗲𝗲 𝗦𝗮𝗺𝗽𝗹𝗲 𝗥𝗲𝗽𝗼𝗿𝘁 𝗛𝗲𝗿𝗲: https://t.co/3uKR651Ric #DroneNozzles #DroneTechnology #AgriculturalDrones #PrecisionAgriculture #SmartFarming #AgriTech https://t.co/5xiurwIwUJ

Mahmoud Sandstorm

@egagritech

Turkana's hazard atlas gives the baseline I need for agritech deployment in arid zones. Food security projects fail without this granularity. https://t.co/9Pb49jgSMn

Abhyuday Innovations

@AbhyudayTech

AGR Q10 is built for high-precision agricultural operations, delivering reliable performance day and night. - High Precision - Confident Operations - Day & Night Performance Built for New Age Farming. #AGRQ10 #AgriTech #PrecisionAgriculture #DroneTechnology #SmartFarming https://t.co/FOs0qkBzhp

AamishaFoods

@aamishafoods

Ripen mangoes perfectly with INSTA ripe Ethylene Generator and UNI-RIPE Fruit Ripening Concentrate—your go-to solution for uniform, natural ripening! #MangoRipening #FreshMangoes #NaturalRipening #AgriTech #FarmToTable #FreshFruits #EthyleneRipening #FarmToMarket https://t.co/ItBKAjHwyX

InVivo

@InVivoGroup

Biodiversité, transition climatique, agri-énergies, AgriTech… Les défis qui transforment l’agriculture sont nombreux et passionnants. Que vous soyez simplement curieux ou déjà expert du sujet, la fin du mois d’août est l’occasion idéale pour enrichir votre compréhension de ces

Enactus Kenya

@EnactusKenya

Country Leader @ShikwatiJames toured the Songa Mobility Factory with CEO Mr. Thibaut de Chauny 🚜💡 Big things brewing @EnactusKenya Great to have engineering, ICT, and AI students coming together to build solutions that matter for smallholder farmers. #AgriTech #Innovation https://t.co/qOYLN9hVDD

Banas AI

@banas_ai

At Banas AI, we're building ground-truth data from real Indian farms — for AI and robotics systems that need to work here. Banas AI is fixing that. 🌾 #AgriTech #PhysicalAI #BanasAI

Banas AI

AgriTech is booming. Billions are being invested in precision farming, agricultural robotics, and AI-powered crop management systems. But there's a problem nobody is talking about. The AI powering these systems is being trained on data that doesn't reflect where most of the world's farming actually happens. Current global robot training datasets cover institutions across the US, EU, Japan, and Korea. Indian agricultural data — representing 127 million hectares of cultivated land across 20 agro-climatic zones — is completely absent. That means: AI systems that fail in Indian field conditions Robots that can't recognise Indian crop varieties Models that generalise poorly to the environments they're supposed to operate in The gap isn't a minor oversight. It's a structural blind spot in how the world is building Agricultural AI. At Banas AI, we exist specifically to close it. Ground-truth data from real Indian farms — built for the AI and robotics systems that need to work here. The problem is real. The solution is being built. 📧 contact@banas-ai.com | contact.banasai@gmail.com 🌐 www.banas-ai.com Follow us on Instagram | LinkedIn | X — @BanasAI #AgriTech #ArtificialIntelligence #PhysicalAI #AgriculturalAI #GroundTruthData #IndianAgriculture #RoboticsData #MachineLearning #FoodTech #BanasAI #AIforAgriculture #Robotics #DataScience #PrecisionFarming #IndiaAI

Rashad Abdul Rahman

A pilot field update An update from one of our pilot fields: Since deploying our solar-powered sensors, the farmer we're working with has been able to time irrigation based on actual soil moisture data instead of a fixed weekly schedule. Early result: fewer wasted irrigation cycles, and a noticeably healthier crop stand through a dry spell that would normally have caused visible stress. One field, one season — not a universal claim yet. But exactly the kind of real-world proof we're building Sentra Agritech to generate, one pilot at a time. #SentraAgritech #PilotUpdate #PrecisionAgriculture #AgriTech

Vinay Pattlola

One idea, one team, one hackathon—and countless lessons learned. 🚀 Excited to share my first-ever hackathon experience at Hack-The-Matrix | TECHNIDHI 2026! My team and I built Agri Vision 🌱, an AI-powered project that aims to help farmers identify crop diseases and support better farming decisions. Although we couldn't complete the project within the hackathon timeline, we continued working on it afterward and developed a functional prototype. While we're still improving its accuracy, seeing our idea evolve into a working solution has been incredibly rewarding. This experience taught me that hackathons are about much more than the final product—they're about collaboration, innovation, learning, and the determination to keep building even after the event ends. Grateful for this amazing first experience and excited for many more opportunities to learn, build, and innovate. Looking forward to what's next! 🚀 #HackTheMatrix #TECHNIDHI2026 #FirstHackathon #AgriVision #ArtificialIntelligence #MachineLearning #ComputerVision #AgriTech #Innovation #Teamwork #Learning #StudentDeveloper #TechCommunity #BuildInPublic

Renaud Sette

Les coulisses de l'aventure Up : bienvenue dans nos bureaux à la Serre Numérique ! C'est ici que l'on imagine, construit et développe le futur du local dans le Grand Hainaut. Maintenant vous savez où nous sommes, passez nous voir quand vous voulez ! Voir moins

Tomi | SWE

@ntrntech

next big agritech company in nigeria https://t.co/DGBgd74Obl

SaatPro

@TheSaatPro

What if the world's deserts became tomorrow's farms? AI robots, smart irrigation & autonomous farming are making it possible. Watch how technology could transform the future of agriculture. https://t.co/FTRIcTJRJM #AI #Robotics #FutureTechnology #AutonomousFarming #AgriTech

PULCU TARIM (Fertilizers & Pesticides)

The future of agriculture starts with stronger roots. 🌿 With PULCU TARIM Hydroponic Farming Solutions, we provide innovative solutions designed to support root development, enhance yield, and improve crop quality. 🌿 4 SEASON ROOTS ✔ 30% Fulvic Acid ✔ 3% Alginic Acid ✔ 20 ppm Gibberellic Acid Inspired by nature and developed through science, we work for stronger plants, higher productivity, and a more sustainable future. Grow Max with Min 🌱 #PulcuTarim #Hydroponics #SmartFarming #AgriTech #PlantNutrition #RootPower #SustainableAgriculture #FutureOfFarming #Biostimulants #AgricultureInnovation