Réseaux Sociaux

DJI Enterprise

@DJIEnterprise

Protecting a crop farm means catching problems early. DJI Dock 3 monitors the field automatically, AI detects risks in real time, and you get the alert before a small problem becomes a big one. #djienterprise #djidock3 #agritech #farmtech https://t.co/liVTzgg0Su

Prime Bottomline Ventures

@primebottomline

Winners — AI: Xploro Technologies. AgriTech: Oscillo Machines. ₹1.7L in prizes. But the real prize: top 3 per track get curated investor intros, and thesis-fit startups enter our standard evaluation process.

Prime Bottomline Ventures

@primebottomline

We'll do this again. Building revenue-first in AI or AgriTech from Tier 2 India? founders@primebottomline.vc

Prime Bottomline Ventures

@primebottomline

Three weeks ago, 16 startups pitched at LaunchPad 2026 in Coimbatore — our pitch day with GRG Gen Nxt. AI + AgriTech tracks, revenue-stage founders only. Here's what happened, and what happened after

Polsia

@polsia

Most Nigerian agritech pretends smallholders have broadband. UbiMesh builds for what they actually have — one offline app bundling IoT sensors, market prices, weather, and crop insurance. Sorghum, millet, cowpea — Kano, Sokoto, Borno. Full deploy with the 2025 rains.

Originalius Agritech

🌍 ORIGINALIUS, together with its substrate solutions for more efficient and sustainable agriculture, will be present at these key agri-food industry events over the coming months: 📍 Sept. 18–20: Kunming, China — IFEX / KIFE 📍 Sept. 22–24: Cairo, Egypt — Sahara Expo 📍 Sept. 29–Oct. 2: Murcia, Spain — 11th International Table Grape Symposium 📍 Oct. 6–8: Madrid, Spain — Fruit Attraction 📍 Nov. 12: Agadir, Morocco — Morocco Berry Conference 🌱 ORIGINALIUS - SUBSTRATE WITH TECHNOLOGY

Davide Grassi

La prima domanda che ci fanno non è quanto dura la batteria. È quanto dura la batteria con l'attrezzo attaccato, in salita e sotto il sole di mezzogiorno☀️ Nel mercato dei mezzi agricoli elettrici la comunicazione si è abituata a un solo numero: l'autonomia dichiarata. Un dato misurato in condizioni di laboratorio, a vuoto, in piano che non dice nulla di come si comporta davvero. Chi lavora la terra non guida mai in quelle condizioni. Lavora con un attrezzo agganciato alla presa di forza, su un pendio, con il carico che cambia ogni dieci minuti. In quello scenario l'autonomia cala, e cala in modo diverso da macchina a macchina. Non pubblichiamo ancora un numero di autonomia per eBacco: non ci sbilanciamo perché é ancora troppo presto per farlo, quindi non lo dichiariamo. Preferiamo perdere un vantaggio comunicativo a breve termine piuttosto che vendere un dato che si sgretola alla prima salita vera. (per ora posso solo dire che i risultati sono davvero ottimi 😎 ) Lo abbiamo visto anche nei primi test in campo, con un attrezzo prestato da un costruttore di macchine agricole per allineare presa di forza e trazione in condizioni reali, non simulate: è lì che un numero comincia a valere qualcosa. Se state valutando un mezzo elettrico per la vostra azienda, la domanda giusta non è "quanti km" o "quante ore", è "quanto dura con il vostro attrezzo più pesante, nella vostra giornata più dura". Voi, quando valutate una macchina elettrica, la domanda che fate è sull'autonomia dichiarata o su quella che resta a fine giornata? #agritech #ebacco #eden #agricolturaelettrica #trattorielettrici

La Vision Tech

🇺🇸🤖 Cette machine agricole élimine les mauvaises herbes avec des lasers Et si l’agriculture de demain utilisait moins d’herbicides… grâce à l’IA ? La société américaine Carbon Robotics a développé le LaserWeeder, une machine agricole équipée de caméras, de vision par IA et de lasers de précision. Le principe est redoutable : la machine avance dans le champ, analyse les plants en temps réel, distingue les cultures des mauvaises herbes, puis cible uniquement les mauvaises herbes avec des lasers. Pas besoin d’arracher. Pas besoin de pulvériser partout. Pas besoin de toucher le sol. Les lasers détruisent les mauvaises herbes au niveau du méristème, sans abîmer les cultures autour. Le système fonctionne grâce à des caméras haute résolution et des GPU NVIDIA embarqués pour traiter les images directement sur la machine. L’objectif est clair : réduire l’usage des herbicides, limiter les coûts de désherbage et offrir une alternative plus propre à certaines pratiques chimiques. Mais il faut rester lucide : ce n’est pas encore une solution magique pour tous les agriculteurs. Le coût, la vitesse de passage, le type de culture et la taille des exploitations restent des facteurs importants. 👉 Cette technologie montre quand même une chose forte : l’IA ne va pas seulement transformer les bureaux, les voitures ou les usines. Elle arrive aussi dans les champs. Et demain, une partie de l’agriculture pourrait être pilotée par des caméras, des modèles d’IA… et des lasers. #VisionTech #Agriculture #IA #NVIDIA #CarbonRobotics #LaserWeeder #AgriTech #Innovation #Technologie #CleanTech

IndiaAI

AI becomes truly impactful when intelligence reaches the people who need it most. During the 2026 southwest monsoon season, an AI/ML-based hybrid blended model enabled the dissemination of localised agronomic monsoon onset advisories to approximately 5.28 crore farmers across 15 States and 1 Union Territory. This is technology moving from forecast to field, helping translate weather intelligence into information that can support timely decisions. With multilingual AI tools and regional-language applications also being developed, India is strengthening the last-mile delivery of weather information. From data to decisions. From forecasts to action. More details here: https://lnkd.in/g4-UT8-s #IndiaAI #AIForIndia #Farmers #AgriTech #WeatherIntelligence #MissionMausam #ClimateResilience Ashwini Vaishnaw | Jitin Prasada | S Krishnan | Sudeep Shrivastava | Ministry of Electronics and Information Technology | Digital India Programme | Ministry of Earth Sciences

IndiaAI

@OfficialINDIAai

AI becomes truly impactful when intelligence reaches the people who need it most. During the 2026 southwest monsoon season, an AI/ML-based hybrid blended model enabled the dissemination of localised agronomic monsoon onset advisories to approximately 5.28 crore farmers across https://t.co/ShhFcvHDDH

Starfarm

Large-scale evaporative cooling starts with system engineering—not simply larger equipment. For greenhouse projects in hot climates, cooling pads can become one of the most visually significant components of the climate-control system. Their function, however, depends on much more than physical size. A properly designed fan-and-pad evaporative cooling system requires coordinated engineering of: ①Cooling pad area — sized according to required airflow and acceptable face velocity. ②Exhaust fan capacity — selected according to the greenhouse ventilation requirement and actual system resistance. ③Water circulation — designed to maintain uniform wetting across the complete pad surface. ④Airflow distribution — pad and exhaust fans are normally positioned on opposite sides to draw cooled air through the crop zone. ⑤Psychrometric conditions — actual cooling potential depends on outdoor dry-bulb temperature, wet-bulb temperature, relative humidity and pad efficiency. For large commercial greenhouses, these parameters must be calculated as one system. Oversizing one component cannot compensate for an incorrectly designed airflow path or unsuitable ambient conditions. At StarFarm, our approach is to integrate greenhouse structure, ventilation, evaporative cooling, irrigation and environmental control according to the crop and local climate conditions. The objective is not to install the biggest cooling pad. It is to create the right growing climate with an efficient and balanced system. #StarFarm #Greenhouse #GreenhouseCooling #CoolingPad #EvaporativeCooling #ClimateControl #GreenhouseEngineering #ControlledEnvironmentAgriculture #AgriTech

SUFEX INDIA

@SUFEXINDIA04

BRING YOUR INNOVATION TO INDIA’S SMART FARMING PLATFORM | SUFex 2026 | 3rd Edition Innovate. Showcase. Connect. Grow. 🌐 https://t.co/9Nkb0y2zlk #SUFex2026 #SUFex #PHDCCI #SmartFarming #SmartAgriculture #AgriTech #FutureFarming #AgricultureInnovation #PrecisionAgriculture https://t.co/myOy9rLUfu

India Meteorological Department

@Indiametdept

📷 Theme Paper | MAUSAM Journal Machine Learning Models to Forecast Cotton Yield for Punjab The Theme Paper in the latest issue of MAUSAM showcases how Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) models can improve cotton yield forecasting using weather https://t.co/HZVJsdLgia

Benoit St-Laurent

Les allemands apprécient les avantages de AQUA4D® 💧 Disponible au 🇨🇦 GMABE Les Producteurs en serre du Québec Ontario Greenhouse Vegetable Growers CentrEau - Centre de recherche sur la gestion de l'eau Réseau Environnement Institut de recherche et de développement en agroenvironnement Vineland Research and Innovation Centre

Bobson

@bobson42248

Africa’s investment landscape is shifting. FDI near highs, tech funding $4B in 2026. Fintech still leads, while minerals and agritech rise. Uganda sees 📈 in energy, agro-processing under AfCFTA. What opportunities do you see in Uganda? #UgandaInvest 🔗 https://t.co/arBXD5bu87

Market Size Info

@marketsizeinfo

The UK agritech market size reached USD 696.5 Million in 2025. Looking forward, IMARC Group expects the market to reach USD 1,802.1 Million by 2034, exhibiting a growth rate (CAGR) of 10.58% during 2026-2034. Browse the full report: https://t.co/NmyA9AqOYb https://t.co/URDWyshZmp