
AGRIVO helps rice farmers choose the optimal irrigation strategy based on real-time weather data, soil conditions, and crop growth stage — reducing water use and greenhouse gas emissions.
AGRIVO is built for farmers who want to farm smarter—not replace their instincts. Our AI engine synthesizes climate forecasts, soil sensor data, and decades of agronomic research to surface the one recommendation that matters most today.
We believe the future of sustainable rice farming is data-informed decisions made by empowered farmers—not autonomous machines.
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Our model analyzes soil moisture, rainfall forecasts, and crop growth stage to recommend the optimal irrigation strategy—updated daily.
7-day hyper-local forecast integrated directly into decisions. Rain events automatically adjust recommendations before you even open the app.
Track every plot's soil moisture, temperature, and nutrient levels. Know the exact status of each paddy at a glance.
Measure your methane reduction, N₂O emissions, and net GWP savings. Every decision comes with a sustainability score.

"By combining the Strawvo community's dedication with AGRIVO's data-driven insights, we are transforming how we manage our rice fields. Our water usage is optimized, and our community's harvests are more resilient than ever."