
A #Farmer doesn’t need more #data. They need the right data at the right time.
#Unpredictable_weather is one of the biggest risks in #agriculture today. A slight change in #temperature, unexpected #rainfall, or #wind variation can directly impact yield and income.
So the question is
Are farmers relying on generic weather forecasts... or field-level intelligence?
At ANNAM.AI CoE by Ministry of Education, Government of India, New Delhi at Indian Institute of Technology, Ropar, we are building #hyperlocal climate intelligence with our Micro Climate Intelligent Infrastructure (MCII).
Instead of broad regional predictions, #MCII delivers real-time, on-field insights that help farmers:
✔ Decide the right time for irrigation
✔ Plan pesticide and fertilizer application
✔ Reduce crop loss due to sudden weather changes
✔ Improve overall productivity
This is not just a #weatherstation.
It is a step towards data-driven, risk-aware, and precision agriculture.
Because the future of #farming will not depend on guesswork
It will depend on intelligence at every acre.
To know more visit our website : annam.ai
Ministry of Education, Government of India, New Delhi | Department of Science & Technology, Government of India | Ministry of Agriculture & Farmers Welfare, Government of India | Ministry of Electronics and Information Technology | Digital India Corporation | Indian Institute of Technology, Ropar | iHub - AWaDH @ IIT Ropar
Shri Dharmendra Pradhan Ji | Prof. Rajeev Ahuja | Pushpendra P. Singh | Sudarshan Iyengar | Mukesh K. Saini | Suman Kumar | Pawanraje Kadam | Prerna Arora | Satvir Singh | Sonali S. | Sharesth Vij | Aditya Verma | Parry Sood | Dr. Divya Monga | Jarpula Uday Singh
#ANNAMAI #AgriTech #SmartFarming #PrecisionAgriculture #AI #ClimateTech #FarmersFirst #DigitalAgriculture
#Unpredictable_weather is one of the biggest risks in #agriculture today. A slight change in #temperature, unexpected #rainfall, or #wind variation can directly impact yield and income.
So the question is
Are farmers relying on generic weather forecasts... or field-level intelligence?
At ANNAM.AI CoE by Ministry of Education, Government of India, New Delhi at Indian Institute of Technology, Ropar, we are building #hyperlocal climate intelligence with our Micro Climate Intelligent Infrastructure (MCII).
Instead of broad regional predictions, #MCII delivers real-time, on-field insights that help farmers:
✔ Decide the right time for irrigation
✔ Plan pesticide and fertilizer application
✔ Reduce crop loss due to sudden weather changes
✔ Improve overall productivity
This is not just a #weatherstation.
It is a step towards data-driven, risk-aware, and precision agriculture.
Because the future of #farming will not depend on guesswork
It will depend on intelligence at every acre.
To know more visit our website : annam.ai
Ministry of Education, Government of India, New Delhi | Department of Science & Technology, Government of India | Ministry of Agriculture & Farmers Welfare, Government of India | Ministry of Electronics and Information Technology | Digital India Corporation | Indian Institute of Technology, Ropar | iHub - AWaDH @ IIT Ropar
Shri Dharmendra Pradhan Ji | Prof. Rajeev Ahuja | Pushpendra P. Singh | Sudarshan Iyengar | Mukesh K. Saini | Suman Kumar | Pawanraje Kadam | Prerna Arora | Satvir Singh | Sonali S. | Sharesth Vij | Aditya Verma | Parry Sood | Dr. Divya Monga | Jarpula Uday Singh
#ANNAMAI #AgriTech #SmartFarming #PrecisionAgriculture #AI #ClimateTech #FarmersFirst #DigitalAgriculture
Shared byEmerson Shah - A month ago
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