A Deep Learned Pan-India Digital Agronomy Framework for Hyperlocal Crop Monitoring.
While the country had a few technology tools supporting the agricultural sector, their capabilities were quite limited. Thus, a team of like-minded professionals with extensive experience in both technology and agriculture came together to create AgronomIQ. We recognized and aimed to fill a critical gap in the ability of technology platforms to deliver high-resolution, data-driven insights on crop performance. Our goal is to empower stakeholders in the Indian agricultural ecosystem with actionable intelligence at the parcel level.
The name 'AgronomIQ' encapsulates the essence of an “Agronomy” driven platform that is dedicated to solving real-world challenges in Agriculture through an intelligent, data-centric approach. The platform’s “IQ” reflects its focus on creating a smart, data-backed ecosystem where agricultural intelligence and pragmatic decision-making come together to empower users. With a user-oriented approach at its core AgronomIQ combines agronomic principles with advanced AI and machine learning (ML) models, allowing it to provide solutions that are not only scientifically sound but also practically relevant to the daily realities of Indian farmers, insurers, agribusinesses, and policymakers.
Why AgronomIQ?
Domain Driven Platform – Agriculture – GIS - Technology
Precision Risk Analysis
Utilize Hyperlocal crop surveillance and cutting edge AI/ML models to provide precise risk assessments at the parcel level, ensuring accurate insurance underwriting and claims processing
Periodic Reports for better Underwriting
Sowing /germination/harvest, crop health, yield estimation, loss analysis and catastrophe losses reports will be enabled at a regular interval
Proactive Risk Management with Early Warning Systems for timely claim settlement
Disease early warning systems and real-time weather event monitoring to proactively manage risks related to pest outbreaks, disease spread, and climatic events like floods and droughts
Centralized Digitization
Offer a unified platform for farm, farmer, crop, and asset profiling through web and mobile apps, integrating geotagged data for real-time monitoring and decision-making.
Comprehensive Data Integration
Seamless integration of various data sources, including satellite imagery and on-ground sensors, to provide a holistic view of agricultural operations.
Dynamic Route Optimisation
Utilize AI/ML algorithms to create an optimal routes for your agents, to ensure periodic farmer/farm visit will be done in less time & money
Why AgronomIQ?
Domain Driven Platform – Agriculture – GIS - Technology
Precision Risk Analysis
Utilize Hyperlocal crop surveillance and cutting edge AI/ML models to provide precise risk assessments at the parcel level, ensuring accurate insurance underwriting and claims processing
Periodic Reports for better Underwriting
Sowing /germination/harvest, crop health, yield estimation, loss analysis and catastrophe losses reports will be enabled at a regular interval
Proactive Risk Management with Early Warning Systems for timely claim settlement
Disease early warning systems and real-time weather event monitoring to proactively manage risks related to pest outbreaks, disease spread, and climatic events like floods and droughts
Centralized Digitization
Offer a unified platform for farm, farmer, crop, and asset profiling through web and mobile apps, integrating geotagged data for real-time monitoring and decision-making.
Comprehensive Data Integration
Seamless integration of various data sources, including satellite imagery and on-ground sensors, to provide a holistic view of agricultural operations.
Dynamic Route Optimisation
Utilize AI/ML algorithms to create an optimal routes for your agents, to ensure periodic farmer/farm visit will be done in less time & money
Why AgronomIQ?
Domain Driven Platform – Agriculture – GIS - Technology






Why AgronomIQ?
Domain Driven Platform – Agriculture – GIS - Technology
Utilize Hyperlocal crop surveillance and cutting edge AI/ML models to provide precise risk assessments at the parcel level, ensuring accurate insurance underwriting and claims processing
Sowing /germination/harvest, crop health, yield estimation, loss analysis and catastrophe losses reports will be enabled at a regular interval
Disease early warning systems and real-time weather event monitoring to proactively manage risks related to pest outbreaks, disease spread, and climatic events like floods and droughts
Offer a unified platform for farm, farmer, crop, and asset profiling through web and mobile apps, integrating geotagged data for real-time monitoring and decision-making.
Seamless integration of various data sources, including satellite imagery and on-ground sensors, to provide a holistic view of agricultural operations.
Utilize AI/ML algorithms to create an optimal routes for your agents, to ensure periodic farmer/farm visit will be done in less time & money
Meet The Team
