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  • Shrey Guptax
    Ken Research finds the Philippines agritech input e-marketplaces market poised for big shifts ahead as an 8.29% CAGR drives expansion. Dive into the full picture: https://t.co/r4OcTCLFye #Agritech #Philippines
    15 Septiembre 2026
  • Patrick Muriithilinkedin
    Nvidia just bought Hugging Face for $12.9 billion. Here's why smallholder farmers should care. The AI quietly transforming African agriculture, crop disease detection from a phone photo, yield prediction from satellite imagery, credit scoring for farmers with no bank statements, mostly runs on open-source models. Models a small team can download, fine-tune on local crops and local data, and deploy without a Silicon Valley budget. Hugging Face was the front door to all of that. Now the world's biggest chipmaker owns it. Maybe nothing changes. Nvidia profits when more people build. But agriculture in emerging markets has learned this lesson before with seeds and fertilizer: when the inputs get consolidated, the smallest players pay the price. For those of us building AI for smallholder finance, the takeaway is clear: Fine-tune and own your models. A crop-yield model trained on Ethiopian teff or Kenyan maize is an asset no acquisition can take from you. The real moat was never the base model, it's the local data and the trust of the farmers behind it. The next decade of agricultural AI in Africa shouldn't depend on decisions made in a boardroom in Santa Clara. #AgriTech #AI #FinancialInclusion #Smallholders #Africa #AgriFinance
    4 Septiembre 2026
  • Serge Zakalinkedin
    [GRAPHIQUE 1] L’été 2026 est, de loin, le + chaud jamais observé en France, devançant 2003 de 0,8°C. Seulement 5 jours sous les normales, contre 86 au-dessus. Il laisse derrière lui une agriculture en lambeaux et des écosystèmes à l’agonie. Le froid durable sous les normes n'existe clairement plus depuis 5 ans en France. Avec +3.8°C en juin, +3.7°C en juillet et +3.3°C en août, jamais la France n'avait enchainé de telles anomalies. Et la chaleur fera son reto ur dès le début du mois de septembre, de façon durable, notamment dans le sud de la France… L’été météorologique s’achève, mais nous sommes loin d’être tirés d’affaire. -------------------------------------------------------------------------------- [GRAPHIQUE 2, CARTE 3 et CARTE 4] En termes d’intensité, la sécheresse de 2026 (courbe noir du graphique) est clairement la plus intense jamais observée en France à l’échelle nationale. À l’échelle régionale, le constat est tout aussi exceptionnel : du Poitou jusqu’à l’Alsace, une vaste partie du pays connaît la sécheresse la plus intense jamais enregistrée (rouge sur la carte). Le retour des pluies ces dix derniers jours a permis de limiter un peu la casse. Mais le répit pourrait être de courte durée : avec le retour de la chaleur début septembre, la sécheresse pourrait de nouveau atteindre des niveaux records pour cette période de l’année (sous 2022 et 1976). En terme de sévérité (intensité * durée), on ne peut pas encore se prononcer, la sécheresse 2026 étant encore loin d'être terminée.
    31 Agosto 2026
  • Serge Zakalinkedin
    Je pense que l’on peut désormais affirmer que la France traverse la plus grandes catastrophe agricole nationale depuis 1945. Sans aide publique, 30 000 à 35 000 exploitations pourraient se retrouver en situation de faillite, soit près de 10 % des exploitations agricoles françaises. C’est monstrueux. Le constat devient donc difficile à éviter : notre modèle agricole n’est pas suffisamment préparé au changement climatique qui arrive. C’est aussi le résultat d’un échec politique collectif : les gouvernements successifs n’ont pas suffisamment pris la mesure de l’ampleur des bouleversements que le changement climatique impose déjà, et imposera demain, à notre agriculture. Voici 3 propositions nationales pour adapter notre agriculture au changement climatique.
    29 Agosto 2026
  • Serge Zakalinkedin
    La fin de la sécheresse (météorologique) a été marquée par le début de la saison des orages méditerranéens offrant un spectacle grandiose durant l'intégralité de la nuit passée. Quelques centaines de photos entre l'Hortus (ici à droite) et le Pic Saint Loup (ici sortant du nuage à gauche), dont de nombreux coups de foudre ramifiés ! Il va me falloir des semaines pour tout traiter !
    20 Agosto 2026

Alex Batsuev

@batsuev_es

x

Building an Agritech Rover: Day 16 🚜 Brains and power supply are wired and ready for field testing. The hardware stack: ✅ @arduino Portenta X8 & Max Carrier; ✅Pro 4G module & 2 SIM cards; ✅Arduino Nicla Sense Env (sealed enclosure monitoring); ✅60W solar panel & MPPT; https://t.co/lt8buAFpoh

10 Julio 2026 à 17h31

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Agtrustt

linkedin

Streamline your agri operations from listing crops to connecting with the right buyers. 🌾💻 With AgTrustt, every step becomes simpler, smarter, and faster—from tracking inventory to making informed decisions for better results. 🚜📊 🌐 www.agtrustt.com #AgTrustt #SmartAgriculture #AgriTech #SupplyChainTransparency #DigitalAgriculture #FarmManagement #AgriBusiness #CropManagement #BuyerConnection #AgriERP

10 Julio 2026 à 17h30

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Farmonaut®

linkedin

Peer-reviewed research from Igdir University (Turkey) confirms: satellite crop monitoring works — and Farmonaut Crop Health Monitoring was the platform researchers chose. Published via DergiPark, the study assessed apple orchard soil moisture levels using Farmonaut's satellite-derived vegetation indices, validating the platform's precision for real-world irrigation decisions. What the research found: - NDWI mapping identified moisture-stressed orchard zones before visible stress appeared - SAR backscatter from Sentinel-1 provided cloud-independent soil moisture readings year-round - Field-level irrigation advisory reduced over-watering across trial plots - Satellite-monitored orchards maintained fruit quality through the growing season When independent researchers choose your platform for their study, that is the kind of validation no marketing budget can buy. See what satellite crop health monitoring can do for your orchard or field operation: sat.farmonaut.com #PrecisionAgriculture #SatelliteFarming #CropMonitoring #AgriTech #Farmonaut #AppleOrchard #NDWI #Horticulture

10 Julio 2026 à 17h30

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Nahid Kausar

linkedin

Excited to share my latest AI project — Plant AI: Tomato Leaf Disease Detection System! 🌱🤖 Today, I shipped an end-to-end Deep Learning application that can identify tomato leaf diseases from images and provide useful insights for farmers and plant health monitoring. 🚀 What I built: 🧠 Deep Learning Model • Trained a custom CNN model on a 5-class subset of the PlantVillage dataset • Achieved 76.2% validation accuracy on tomato leaf disease classification • Implemented image preprocessing, training pipeline, and model evaluation using TensorFlow/Keras 🔍 Explainable AI (XAI) • Integrated Grad-CAM to visualize which regions of the leaf influenced the model's prediction • Made the model more interpretable by understanding its decision-making process 🎨 Interactive Web Application • Developed a Streamlit-based interface for real-time image prediction • Provides: ✅ Disease prediction with confidence score ✅ Disease description ✅ Severity information ✅ Treatment suggestions ✅ Prevention guidance ✅ Confidence visualization across all classes ☁️ Deployment • Deployed the application using Streamlit Cloud • Hosted the trained model on Hugging Face Hub for efficient runtime loading 🛠️ Tech Stack: Python | TensorFlow | Keras | CNN | Grad-CAM | Streamlit | Plotly | Hugging Face | NumPy | Pandas | Pillow This project helped me explore the complete lifecycle of an AI system — from dataset preparation and model training to explainability, deployment, and building a user-facing application. 🔗 Live Demo: https://lnkd.in/dwXQTH_e Github Repo: https://lnkd.in/dvWc5mzD I’m looking forward to improving this further by integrating real-time camera detection, expanding support for more crops, and bringing explainable AI into more practical applications. 🌿 #ArtificialIntelligence #MachineLearning #DeepLearning #ComputerVision #TensorFlow #Keras #Streamlit #ExplainableAI #AgriTech #AIProjects

10 Julio 2026 à 17h29

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Farmers Review Africa

@FarmersAfric

x

What can Africa learn from India’s agri transformation? From scarcity to scale → https://t.co/P3owc49d3H #AgriPolicy #Agriculture #Africa #AgriTech

10 Julio 2026 à 17h22

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PitchVision

@EUrozaliyev

x

🌿 O'zbekiston dehqonlari uchun bepul AI bot yaratdik: 📸 Ekin rasmini yuboring → AI kasallikni aniqlaydi 🌦 200+ tuman bo'yicha ob-havo 💊 Dori tavsiyasi — nomi, dozasi, muddati 🎤 Ovozli savol — ovozli javob To'liq o'zbek tilida ishlaydi 🇺🇿 👉 https://t.co/CSJASb9YzC

10 Julio 2026 à 17h19

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Misozi Zulu

@MisoziZuluu

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Copper is a finite resource, but our arable land is a perpetual compounding asset. When we digitize supply chains for Zambian smallholder farmers, we aren't just increasing crop yields; we are engineering multi-generational food security. 🌱🇿🇲 #AgriTech #Sustainability

10 Julio 2026 à 17h16

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Nomadox Engineering

@nomadoxeng

x

📊 Weekly brief: Nomadox tracked 5 pieces of intelligence across MENA markets this week, with 2 tenders monitored. AgriTech momentum in Algeria emerged as our strongest signal—startups are reshaping the sector.

10 Julio 2026 à 17h04

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African Leadership Magazine

@AfricanLM

x

Agriculture remains the backbone of Africa's economy, employing more than 60 percent of the continent's workforce and supporting the livelihoods of millions of households. Scaling mobile agri-tech solutions is now the key to strengthening food security and modernizing the https://t.co/rhFU2ocaEm

10 Julio 2026 à 16h35

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Luis Gonzalo Jimenez

linkedin

12 NVIDIA #DGX #Spark. 12 petaFLOPS de inferencia. Una sola misión: llevar #IA de clase mundial al borde, ( Edge Computing)en toda América Latina. Hoy sumamos 6 nuevas unidades DGX Spark a las 6 que ya operan en TribuCorp . Cada una integra el superchip GB10 Grace Blackwell con: Hasta 1 petaFLOP de inferencia en precisión FP4 128 GB de memoria unificada CPU-GPU (1.5 TB agregados en nuestra flota) ConnectX-7 a 200 Gb/s: unidades enlazadas ejecutan modelos de hasta 405B de parámetros Todo el stack de software NVIDIA AI preinstalado, con portabilidad directa a data center o nube ¿Por qué importa? Porque la arquitectura de Edge Computing cambia la ecuación para nuestros clientes: los datos sensibles —imágenes clínicas, información financiera, datos operacionales— se procesan localmente, con latencia mínima y soberanía total, sin depender de la nube. Es la infraestructura que hoy potencia nuestros pilotos de IA clínica con @MED-IA.IO, nuestras soluciones de agritech con @UGROW.FARM y las propuestas de valor de todo el portafolio TRIBUCORP como partner del NVIDIA, con operaciones en Chile, Colombia, Perú, Panamá, Brasil, Argentina y España. La IA soberana para LATAM no es un concepto: es hardware, software y un equipo de ingenieros que la despliegan todos los días. #NVIDIA #DGXSpark #EdgeComputing #AI #InteligenciaArtificial #LATAM #TRIBUCORP #NPN

10 Julio 2026 à 16h29

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Archana S

linkedin

🎓 Proud to share that my paper, "An Intelligent Agriculture Resource Aggregation and Farmers Assistance Platform," was presented at the International E-Conference on Global Multidisciplinary Research and Future Technologies (ICGMRFT – 2026). This work explores how AI and NLP can bridge the gap between farmers and critical agricultural resources — combining a multilingual chatbot interface with real-time information aggregation to make farming assistance more accessible and inclusive. Grateful for the opportunity to contribute to this space and excited to keep building solutions at the intersection of AI, NLP, and social impact. #ArtificialIntelligence #MachineLearning #NLP #AgriTech #SmartFarming #DeepLearning #GenerativeAI #ResearchPaper #AIforGood #TechForAgriculture #ICGMRFT2026 #StudentResearcher

10 Julio 2026 à 16h25

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codeAj Marketplace

linkedin

🌾 Built AgriSmart: An AI-powered agricultural advisory platform combining Computer Vision, Regression, and Time-Series Forecasting into a single production-style application. The system addresses real farming challenges by combining: → Crop yield prediction using Random Forest Regression → Plant disease detection (33+ classes) via CNN, built on TensorFlow/Keras → NPK fertilizer recommendation engine → Rainfall forecasting using weather pattern analysis → REST API layer for mobile/third-party integration → Responsive PWA frontend using Bootstrap This is one of the ready-to-deploy final year projects available at CodeAj, designed for BE/BTech/MCA/MSc CS students working in AI, ML, Computer Vision, or AgriTech domains — comes with full source code, pre-trained models, documentation, and a pre-built project report. If you’re a student or mentor looking for a well-structured AI/ML capstone project, feel free to check it out or reach out for details. 🔗 https://lnkd.in/dhP4fcN4 #MachineLearning #ArtificialIntelligence #AgriTech #ComputerVision #Python #TensorFlow #FinalYearProject #StudentProjects #DeepLearning

10 Julio 2026 à 16h25

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MahaRoyal Business Group

@MRBG_Speaks

x

Technology is transforming agriculture. 🌾 Smarter farming starts with AI, IoT, Automation, and Analytics—driving better yields and a sustainable tomorrow. When innovation meets farming, we don't just grow crops—we grow possibilities. #MahaRoyal #FutureOfFarming #AgriTech https://t.co/AEKmRvdUJV

10 Julio 2026 à 15h36

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lagerskoy

@lagerskoy

x

AI JUST GAVE FARMLAND ITS OWN AUTOPILOT This is not just a drone spraying crops from above. The video shows the bigger shift: farms are turning into live AI systems where drones can scan fields, monitor crop health, analyze patterns and decide where attention is needed before https://t.co/0Dzrev4hKR https://t.co/Y2gK4I07w6

10 Julio 2026 à 15h32

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MarketIQ Nexus

linkedin

#MobileCenterPivot #IrrigationInnovation #AgriculturalTech #SustainableFarming #PrecisionIrrigation #IndustrialBearings #SlewingRingBearings #AgriTech #WaterManagement #FarmAutomation #CropYieldBoost #SmartFarming #IrrigationSolutions #AgricultureEngineering #FarmTech #PivotIrrigation #HeavyMachinery #IndustrialBearingsMarket #AgriBusiness #WaterEfficiency #FarmEquipment #AgriculturalMachinery #SustainableAg #IrrigationSystems #FarmInnovation

10 Julio 2026 à 15h30

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Farmonaut India

linkedin

🛰️ CUSTARD APPLE · INDIA — satellite intelligence on a 3.3-acre custard apple (sitafal) orchard in Karnataka. Farmonaut JEEVN AI turns live Sentinel-2/Sentinel-1 satellite data into a farm-specific action plan: 💧 Irrigation: Drip 4.8mm/day (06:00–09:00). 🐛 Pest/disease (flagged before visible damage): Mealybug 94%, Anthracnose 90%, Fruit Borer 88%, Diplodia Fruit Rot 75%. 🌱 Soil pH 6.8 · SOC 0.2% — fertilizer prescription tuned to this field. Not a generic forecast — a personalized advisory generated from orbit and delivered to the farmer's phone. Early detection. Precise scheduling. Zero guesswork. Explore JEEVN AI → sat.farmonaut.com #JEEVNAI #PrecisionAgriculture #Farmonaut #SatelliteAdvisory #CustardApple #Sitafal #India #Karnataka #CropHealth #SmartFarming #AgriTech

10 Julio 2026 à 15h30

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