Agriculture continues to be the cornerstone of India’s economy, employing nearly half of its population. However, small and marginal farmers face persistent challenges that limit productivity and profitability. These include the absence of timely weather forecasts, lack of transparent and updated mandi (market) prices, limited access to scientific crop advisories, and the inability to detect pests and diseases at an early stage. Current digital solutions are often fragmented, overly complex, or inaccessible to rural users, leaving a critical gap in the agricultural ecosystem. This disconnect results in suboptimal decision-making, lower yields, financial vulnerability, and unsustainable farming practices. Therefore, there is an urgent need for an integrated, farmer-centric, and technology-driven solution that addresses these challenges in a unified manner.
The objective of the AgriVerse App is to develop a comprehensive, intelligent, and user-friendly digital platform that empowers farmers with real-time, actionable insights to enhance agricultural productivity and sustainability. The app is designed to: 1. Deliver real-time weather forecasts to support informed decisions on sowing, irrigation, and harvesting. 2. Provide live mandi price updates, ensuring farmers secure fair and profitable returns for their produce. 3. Recommend scientifically suitable crops through AI-driven models that analyze soil type, climatic conditions, and local factors. 4. Facilitate early detection of pests and diseases using image-recognition technology to minimize crop losses. 5. Enable digital farm mapping for personalized field management and resource optimization. 6. Create a collaborative farmer community for knowledge exchange, peer learning, and adoption of best practices. 7. By consolidating these features into a single ecosystem, AgriVerse seeks to bridge the gap between traditional farming practices and modern technological advancements. The ultimate goal is to promote data-driven agriculture, increase yields, reduce risks, and improve farmer livelihoods, thereby contributing to long-term food security and sustainable rural development.
The Aditya Birla Public School, Vikram Nagar, Khor, Neemuch, Madhya Pradesh
Mahimna12#
Rated: 5 stars
Review: Instead of developing the whole solution, I think some of the things mentioned are better use cases of Ai, Like early pest detection, Recommendation of fertilisers, Digital farm mapping. If you implement these one by one it would be great start researching about API's and VLM's which can detect pests