R.T. Santhosh

Papers

Total Citations

H-Index

About

R.T. Santhosh is a researcher at the forefront of applying artificial intelligence to agricultural technology, with a particular focus on plant disease detection and agronomic automation. Their most cited work, "Automated Agronomic Bot for Green Ailment Scanner" (2022, 5 citations), addresses a critical challenge in Indian agriculture: the early identification of plant diseases to prevent significant losses in crop productivity and volume. Santhosh’s research leverages computer vision and machine learning to analyze the visible characteristics of plants, enabling rapid, non-invasive diagnosis of ailments that would otherwise go unnoticed until too late. This contribution is especially vital for long-term farming sustainability, where timely intervention can reduce reliance on broad-spectrum pesticides and improve yield quality. By integrating automated scanning with agronomic decision-making, Santhosh’s work bridges the gap between traditional farming practices and modern precision agriculture. Their findings offer a scalable, cost-effective solution for smallholder farmers, directly supporting food security in India’s agrarian economy. With a growing citation footprint, Santhosh is establishing themselves as a key voice in the intersection of AI and sustainable agriculture.