What is the name of your organization?
Sensegrass
What is the name of your solution?
AgRI SHIELD AI
Provide a one-line summary or tagline for your solution.
AgRI SHIELD AI: Patent-Pending GeoAI Computational Engine for Sustainable Yields & Resilient Farming
In what city, town, or region is your solution team headquartered?
New Delhi, Delhi, India
In what country is your solution team headquartered?
India
What type of organization is your solution team?
For-profit, including B-Corp or similar models
Film your elevator pitch.
What specific problem are you solving?
Smallholder farmers and large-scale agricultural enterprises face yield losses, inefficient resource use and climate-driven uncertainties due to a lack of real-time, data-driven insights into farm conditions. Globally, up to 40% of crop yields are lost annually due to factors like drought, soil degradation and mismanagement of inputs (FAO, 2022). While satellite imagery and geospatial data are increasingly available, most farmers and agribusinesses struggle with accessing and interpreting this data effectively for decision-making.
AgRI SHIELD AI bridges this gap by providing geospatial intelligence for monitoring crop health, assessing vegetation trends and detecting early signs of stress using a Z-score-based monitoring system. Our solution is designed to be scalable and data-driven, supporting farmers, agribusinesses and other stake holders in making informed decisions to reduce input waste, mitigate yield risks and adapt to climate variability.
With over 570 million farms worldwide, including 84% smallholder farms, there is a clear need for accessible precision agriculture tools. AgRI SHIELD AI offers a data-backed approach that is particularly valuable in regions with limited access to traditional monitoring methods, helping agricultural stakeholders improve resilience, productivity and sustainability without relying on expensive, manual field assessments.
What is your solution?
AgRI SHIELD AI stands for Agricultural Resource and Intelligence System for Holistic Insight, Evaluation, and Land Dynamics powered by AI. It is a patent-pending, one-click GeoAI Processing Pipeline that deciphers satellite-derived GIS data using grid-based scoring, multi-index fusion and adaptive environmental analysis. It empowers users with precise, real-time decision-making tools for food security, resource efficiency and climate resilience.
The platform divides agricultural land into 10x10m grids, delivering granular insights over generalized field averages. It integrates vegetation, water and stress indices to provide a well-rounded crop health assessment:
Vegetation Health: NDVI, SAVI, EVI, MSAVI2
Water Stress: NDWI
Plant Pigment & Stress Response: ARI, PRI
Greenness & Canopy Density: VARI
A Z-score-based dynamic scoring system adjusts values relative to historical baselines, avoiding false alerts and reflecting real vegetation changes. The system computes an overall farm score, simplifying field evaluation.
Additional features include true-color satellite imagery for visual validation, time-series analytics for tracking trends, and cloud cover filtering to ensure uninterrupted, high-quality data. The platform also provides automated observations and actionable recommendations, converting raw data into field-ready insights—instantly accessible with a single click.
Who does your solution serve, and in what ways will the solution impact their lives?
AgRI SHIELD AI serves multiple stakeholders across the agricultural ecosystem, enabling data-driven decision-making and resilience against climate risks.
Governments & Policy Institutions → Gain real-time, high-resolution insights into regional farm performance, water use and climate adaptation strategies to design effective agricultural policies and subsidy allocations.
Insurance & Risk Assessment Firms → Use grid-based farm scores and multi-index time-series analysis to validate yield losses, optimize claim processing and structure climate-resilient insurance policies.
Environmental Organizations & Climate Researchers → Leverage historical and real-time satellite data, water indices (NDWI) and vegetation trends to assess climate-driven shifts in land use and crop viability.
Agricultural Consultants & Advisory Services → Access true-color imagery, anomaly detection and dynamic scoring algorithms to deliver precision recommendations for improving farm sustainability and productivity.
Food Security & Supply Chain Organizations → Predict regional agricultural trends and vulnerabilities to strengthen food security strategies and optimize resource distribution.
Currently underserved by static, regional-scale monitoring tools, these groups gain unprecedented access to farm-level, AI-driven intelligence—enabling precision interventions, sustainable resource allocation and climate-adaptive decision-making.
