PARS helps identify issues early and suggests interventions to optimize yield. Initial projections indicate that PARS can potentially increase paddy yield by approximately 8-25%. Over time, this could significantly contribute to meeting national rice consumption demands. Moreover, the system can be adapted for other crops and extended to different regions worldwide.

PARS is a remote sensing system with three main parts: image acquisition, processing, and analytics. It uses a drone with a multispectral sensor to capture high-resolution images of paddy fields during early growth. The drone operates automatically and can be controlled by a laptop or phone. The system processes the images to create digital surface models and vegetation indices that monitor crop health. It also uses the data to identify paddy vs. non-paddy areas and spot healthy or unhealthy plants. Finally, PARS analyzes the information using regression techniques to predict yield and recommend actions to improve crop performance.

The Precision Agriculture Recommender System (PARS) is an innovative solution that uses drone technology, remote sensing, and artificial intelligence to help farmers monitor and improve paddy crop performance. It works by capturing high-resolution, multispectral images of fields during the early stages of growth, allowing it to assess plant health, identify problem areas, and distinguish between healthy and unhealthy crops. This data is then processed and analyzed using AI-driven models to predict yields and generate practical recommendations for farmers such as when and where to intervene before the end of the planting season. By providing early, targeted insights, PARS can help increase paddy yields by approximately 8-25%. The system is also adaptable for other crops and regions, offering a scalable and sustainable solution to boost agricultural productivity and support national food security.