Delivering data-driven insights at the farm level

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about_us_5
Mobile and Web Applications for Field: The platform offers a mobile application to efficiently manage field staff with geo-fencing audits, streamline farmer data collection, and collect crop signatures to train the Agri-models. This enables seamless coordination and resource allocation in field operations. The mobile app seamlessly integrates with the web to facilitate storage analysis, dashboarding, and dissemination of advisories for timely crop management interventions and generating alerts on perils.
Crop Health Monitoring: From sowing to harvest, the platform provides comprehensive crop health monitoring utilizing advanced AI/ML algorithms. Farmers can take proactive measures to safeguard their crops and maximize yields by detecting crop stress incidences, diseases, pests, and nutrient deficiencies in real-time. The platform will report crop sowing progress, acreage, and mid-season adversities at the parcel level. Prevented sowing with duration, extent, and cause will be reported for each field.

Satellite Data Analysis for Yield Estimation: By harnessing the spectral resolution of satellite imageries and advanced data analysis techniques, our platform will provide precise estimates of crop yields for every farm. Each pixel of the satellite imagery will be assigned yield values, allowing for the identification of intra-field variability. This data-driven approach will empower stakeholders to make informed decisions regarding crop planning, resource allocation, and market forecasting.

Predictive Models for Pest and Disease Forecasting: The platform seamlessly integrates predictive models powered by AI/ML algorithms to forecast perils by analyzing weather parameters, and detecting conditions conducive to the onset of pest and disease events. Farmers can implement timely interventions by anticipating potential threats, effectively reducing crop losses and enhancing productivity.

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Advisory to farmers: AgronomIQ platform will generate advisory by harnessing data-driven insights, predictive analytics, and personalized recommendations to empower them with the knowledge and tools needed to optimize their agricultural practices and improve productivity. The advisory will be delivered through various channels, including mobile apps, SMS alerts, web portals, etc. In conclusion, the AgronomIQ Platform will represent a transformative solution poised to address the evolving needs of the Indian agricultural industry.
By harnessing the power of advanced technologies, the platform empowers stakeholders to access crop intelligence for individual farms to navigate challenges, optimize operations, and unlock new opportunities for growth and sustainability.

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Crop risk modeling and rating – Farmrisk caters to the needs of agri-insurance and banking sectors by offering crop risk modeling and rating, providing farm-level risk scores, real-time farm loss monitoring, insurance pricing support, preventive crop sowing analysis and validation, ensuring precise risk assessment and informed decision-making at parcel level.
  • Risk scores at farm level
  • Real-time farm loss monitoring
  • Insurance pricing
  • Preventive sowing
  • Crop validation
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  • This AI/ML-based Agritech engine represents a groundbreaking initiative poised to revolutionize precision levels in the generation of agricultural intelligence.
  • The platform utilizes continuous satellite data feed to monitor crop progress for individual farms and generate pragmatic actionable to improve crop production and mitigate crop loss risks.