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Faisal Alqanatish

@qanatish

Over $16B was invested in agricultural innovation in 2025. But funding alone will not transform food systems. GenAI can accelerate the development of resilient crops, biological treatments and smarter farming producing more food with less water, fertilizer and land. #AgriTech https://t.co/1Gk3jiDb8L

Sanat Prabhukhanolkar

Agricultural drones are no longer just flying machines—they are complete farm intelligence platforms. 🌱📈 Great insights from Xcellity Technologies on the rising ecosystem of Agri-Drones in India. Technology like AI, GIS, and multispectral imaging is making farming more productive than ever before. Highly recommend reading their full breakdown below on how India is building the future of farming! 🚀 #AgriTech #FutureOfFarming #KisanDrone #AgricultureInnovation #MakeInIndia

Attplagritech

@attplagritech

🌾 Modern Agriculture = Grow More with Less Waste The future of farming is about using every resource smarter—not simply using more. With ATTPL Agritech: 💧 Save water with smarter irrigation 🌱 Improve farm productivity ♻️ Reduce wastage of resources https://t.co/hU9cT39xqi

Eugenio Costa

DATA CENTER: PERCHÉ COSTRUIRE PARCHEGGI VUOTI QUANDO POTREMMO COLTIVARE CIBO? Un data center può avere volumi enormi ma pochissimi lavoratori. Eppure le regole urbanistiche possono imporre superfici a parcheggio calcolate sulla volumetria dell'edificio, non sul numero reale di persone che lo utilizzeranno. Il risultato? Centinaia di posti auto potenzialmente vuoti e migliaia di metri quadrati sottratti ad altri utilizzi. Perché non ripensare queste superfici? Una possibilità potrebbe essere consentire, dove tecnicamente ed economicamente sostenibile, di sostituire parte dei parcheggi non necessari con vertical farm, serre tecnologiche e coltivazioni fuori suolo. L'abbinamento merita attenzione soprattutto per un'altra ragione: i data center producono grandi quantità di calore residuo. Attraverso sistemi opportunamente progettati, una parte di questa energia termica potrebbe essere recuperata e utilizzata per serre e altre attività produttive compatibili. Avremmo così un'infrastruttura digitale affiancata da una piccola infrastruttura agro-tecnologica: dati, energia recuperata e produzione alimentare nello stesso ecosistema industriale. Non significa che ogni data center debba avere una vertical farm. Significa aggiornare le regole e permettere ai progetti di dimostrare che esistono utilizzi del territorio più intelligenti di un parcheggio destinato a rimanere vuoto. Se vogliamo attrarre miliardi di investimenti nei data center, dobbiamo anche avere il coraggio di immaginare nuovi modelli urbanistici per infrastrutture che trent'anni fa praticamente non esistevano. Meno asfalto vuoto. Più tecnologia, recupero energetico e produzione locale.

Agriverse-x

@agriversex

WE ARE HIRING — Join the AgriVerse-X Founding Team AgriVerse-X is building a digital agriculture ecosystem that connects farmers, technology, data, community, and responsible innovation. We are looking for committed professionals, experienced specialists, and mission-driven https://t.co/ytlrOF1zBB

KK V.

🌾 Introducing BhoomiSetu — From Land Records to Land Intelligence Government portals remain the authoritative source for official land records. BhoomiSetu is not intended to replace them. The vision is to create a bilingual English–Telugu intelligence layer that helps farmers, landowners and NRIs understand fragmented land information and make better-informed decisions. Future phases are planned to combine: • Soil, irrigation, weather and flood insights • Agricultural and crop-suitability guidance • Structured legal due-diligence workflows • Land-marketplace intelligence and risk indicators • Personalized alerts and field-sensor integration Technology foundation: • Google Cloud Run • Firebase Authentication • Cloud Firestore • Cloud Translation API • Flask, Gunicorn and Cloudflare This is Phase 1 of an evolving AgriTech initiative. The goal is to transform available data into simple, accessible and actionable intelligence while directing users to official sources for final verification. I would value feedback and guidance from technology, agriculture and governance leaders Google Cloud Google for Developers Cloudflare Cloudrun Andhra Pradesh Information Technology Academy ITE and C Department Government of AP Lokesh Nara vertext.ai #BhoomiSetu #AndhraPradesh #GoogleCloud #AgriTech #CloudRun #Firebase #LandIntelligence #DigitalAgriculture

Mariano Larrazabal

@agrobialar

The interest in spot spray solutions coupled with a growing number of providers is resulting in faster adoption throughout North America. The post Spot Spray Solutions Gain Market Share i... @GlobalAgTech #Agtech #Agritech  https://t.co/448WZdt3xZ

Wharf42

@wharf42hq

Accelerating California & Australian agritech collaboration - https://t.co/fGGafpDnhj https://t.co/SYXjIrDcav

Gemini

@gemini53888724

#PrecisionAgriculture #AgTech #SmartFarming #FutureOfFarming #AgriTech #SmartIrrigation #AIinAgriculture #SustainableFarming #AgRobotics https://t.co/us2AasQwb9

Donald Morgan

@dmorgan1773

Australian Venture Capitalists Turn to Israeli Climate, Energy and Agritech Sectors | United with Israel https://t.co/zjwh2iyQ5M

Alex Batsuev

@batsuev_es

Building an AgriTech Rover: Day 33 🚜 Back after two weeks off, and a lot of rover testing in Cantabria. I ended up rearranging the enclosures for better weight distribution and to reduce the buildup of mud, grass and leaves. Still missing: the new mast. #Robotics https://t.co/F3Nu8OqQHD

इ.रामनिवास

@shimonp2368

Australian Venture Capitalists Turn to Israeli Climate, Energy and Agritech Sectors | United with Israel https://t.co/mXvmvJnOhu

Moses Adeoye

This is one of the things that makes remote sensing so interesting to me. In agriculture, we often need to know: Is the crop growing well? Which areas of the field are under stress? Are there differences in crop growth? What areas may need closer attention? Traditionally, answering these questions often meant going into the field and inspecting crops physically. But now, we can also look from above. Satellites and drones can capture information about crops and agricultural land that we can analyse to understand what is happening on the ground. For example, satellite imagery can help us: Monitor crop growth and vegetation Identify areas experiencing possible water stress Detect patterns that may indicate crop health problems Map different crops and agricultural areas Support yield estimation and crop forecasting Monitor agricultural land over large areas One example is NDVI (Normalized Difference Vegetation Index), a vegetation index commonly used to assess vegetation density and crop condition from satellite imagery. And this is where remote sensing becomes even more interesting. When satellite or drone imagery is combined with GIS, field observations, weather data, sensors and AI, we can move from simply looking at a farm to generating information that can support better decisions. Of course, remote sensing doesn't replace going to the field. The goal is to make field observations smarter and more targeted. Instead of trying to inspect everything, remote sensing can help us identify where we should look more closely. For agriculture students, I think this is a skill worth exploring. You don't need to become a satellite scientist. Start by learning how satellite imagery works, understand basic vegetation indices, and try working with real agricultural datasets. The more I learn about AgriTech, the more I realise that the future of farming isn't just about what we can see on the ground. Sometimes, the bigger picture is hundreds of metres above us. Happy New Month, Welcome to September.

Ahmed Metaoua

🥈 Wrapping up my Talan SummerCamp with a Silver Prize! 🚀 As my internship journey at Talan - Tunisie comes to an end, I'm incredibly proud to share that our team, DarjaGpt, won 2nd place with our project AGRIMENT , an AI-powered platform designed to help farmers navigate regulations, choose the right crops, and make smarter business decisions, all in one place. Over the past two months, I had the opportunity to go from an idea to a real solution: exploring problem framing, agentic AI, data-driven decision systems, and what it actually takes to design something reliable and useful for real users, not just a working model. Seeing Agriment go from a rough concept to something we could actually build, test, and present in front of a jury was one of the most rewarding parts of this internship. A huge thank you to Talan - Tunisie for this amazing opportunity, and especially to our amazing mentors, Amel Kouki and Mohamed Khalil Saad as well as Imen Ayari, Head of the Innovation Factory, for their guidance, continuous support, and for giving us the space to learn, experiment, innovate, and bring our ideas to life throughout this incredible experience. 🙏✨ This chapter is coming to an end, but it's opened the door to many more questions, ideas, and projects in AI. Proud of what we built. Grateful for the people. Excited for what's next. #Talan #SummerCamp #DerjaGPT #AgriMent #ArtificialIntelligence #AI #AgenticAI #RAG #GenerativeAI #Agriculture #AgriTech #Innovation #Teamwork #Learning #Tech #AIAgents

Mohamed Salah

Precision Agriculture & Smart Spraying Innovation 🚀🌾 ​شغالين على تطوير نظام روبوت زراعي آلي للرش الذكي الموجه (Precision Spraying Robot) مخصص للعمل داخل الصوب الزراعية. ​النظام بيعتمد على رؤية حاسوبية (Computer Vision) للتعرف على النباتات المصابة أو التي تحتاج معالجة فقط، ويرش المبيد بدقة عالية جداً على الهدف دون استهلاك الرش في المساحات البينية أو على النباتات السليمة — لتقليل هدر المبيدات، حماية التربة، وتقليل التكلفة الإنتاجية. ​عشان تكون الحسابات الميكانيكية والهندسية متوافقة 100% مع بيئة العمل الميدانية، محتاجين نتواصل مع مهندسين زراعيين أو استشاريين متخصصين في إدارة وتجهيز الصوب الزراعية: ​المقاسات والمسافات الفعليه بين خطوط الزراعة (Row-to-Row Spacing) لمختلف المحاصيل. ​عرض الممرات المتاحة لحركة المعدات والروبوتات بين المصاطب. ​خلوص الارتفاع المطلوبة لتفادي أنظمة الري بالرش أو التنقيط وأسلاك التربيط. ​لو حضرتك متخصص أو تقدر تمنشن حد من زمايلك الخبرة في المجال، يشرفنا جداً التواصل والاستفادة من خبرتكم! 🤝✨ ​#PrecisionAgriculture #AgriTech #SmartFarming #Robotics #Mechatronics #Greenhouse #Automation #ComputerVision #AgriculturalEngineering #EgyptEngineers

Hazem Salaheldin Eltawab

Chilling hours decide your deciduous crop months before bloom — yet most growers still guess them. The White Box from ReNile measures chill accumulation inside your own orchard and tells you exactly when to prune and when to spray rest-breaking agents. Your field's data. Your timing. 🌱 #Agritech #SmartAgriculture #ChillHours #ReNile