An integrated crop management system from Vassar Labs that provides decision support and raises advisories to stakeholders during the entire lifecycle of the crop – from sowing to harvest.
The platform also comes with features like GIS portal, Analytics, Dashboard elements like tables, charts etc that help in visualizing data using maps and smart widgets to derive actionable insights
AI models in combination with power of location intelligence help saving a lot of time and efforts in computations and run various hydrology, hydraulic, crop models in near realtime to provide actionable insights.
The platform is packaged with features that helps process collected data and then aggregate it so that effective insights can be derived. All of these features are enabled by state-of-the-art technology.
The platform supports data collected from various sources like IOT sensors, Satellites, API Integrations, Crowd sourcing using Mobile app and process it for next level of operations.
Artificial Intelligence based farm lifecycle management to empower farmers towards data driven decisions to improve crop success rate and earnings in the current age of adverse climatic change. In this we will identify right crop for the region, best time to sow, pest infestation, fertilizer usage, crop acreage and yield estimation.
agriWISE addresses the security for farmers by assisting them with technology driven farming by involving community and governments into a cohesive manner. The primary beneficiary for this system is farmer and secondary is authorities, but as farm produce is directly linked to the food security its everyone’s business. Below is the activity table as demanded.
Visibility to famers with respect to farm holdings and farming performance, enabling transparent governance and distribution of farmer welfare schemes.
Remote sensing based assessment helps farmers and department arrive at the optimum combination of crops suitability for the area based on Argo-climatic zone, soil type, water demand etc. The aim is to reduce risk and maximize GVA with the right crop plan.
This feature uses historical and forecasted data to present advisories on optimal time for crop sowing given a region. Maximizes seed germination and improves crop success.
The system enables AI algorithm that identifies crop water demand and leverages timely advisories for mitigating crop stress. This decision support module also provides insights on crop stress during critical period.
This module provides Soil Health Card based fertilizer recommendations. Key decision makers would get current soil nutrient statistics. Advisories on the right amount of fertilizers to be used by farmers.
This solution notifies field-officers/farmers regarding areas that are likely to be prone to pests. In addition, this module also gives appropriate remedial action that needs to be taken to mitigate pest risk.
This module uses remote sensing data for crop classification, which gives output on which crop has been sown and what's the crop sown area. The system helps in understanding major crop in any region and its deviation from crop zone planning. This further helps in post harvest operation planning.
This module provides crop acreage estimation based on satellite data and ground truthing surveys. Estimates the volume of yield generated and plans post harvest operations i.e. storage facilities, packaging and processing equipment.
Near real-time monitoring of crop health conditions with the help of remote sensing. Identifies healthy parameters for crop growth and sends alerts to authorities when there is any degradation in crop health.
By leveraging remote sensing technology clubbed with AI, crop loss assessment is done in account of extreme weather events. This system ensures visibility on potential crop loss that facilitates insurance processes for farmers and other needed aids.
This module corresponds to the automation, tracking, and monitoring of the drought manual which helps in identifying early season drought. Further provides alerts using remote sensors leveraging decision support.
This solution empowers both loanee and non-loanee farmers, automating the complete insurance lifecycle process starting from enrolment to claim settlements. Validates crop loss declaration by the farmers, provides advisories on potential losses/damages, ensuring timely and fair pay outs.
This module leverages satellite data with ML algorithm to provide harvesting assessment periodically and gives visibility of standing crops ready to harvest. This helps departments in mobilizing resources and provides emergency management advisories for uninterrupted harvesting.
This system checks the status of availability of farm input supplies i.e. seed, fertilizers, pesticide as well checks the farm mechanization status in region where there is a need to intervene for increasing the number of machinery.
With this portal farmers can raise their issues or request which will be monitored and managed via a single authoritative system. A self learning module that keeps farmers updated with best practices and various central/federal schemes.