Pranita Kolhe

Papers

Total Citations

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About

Pranita Kolhe is a researcher at the forefront of applying artificial intelligence and smart communication systems to agriculture, with a particular focus on crop disease detection. Her most-cited work, “Smart Communication System for Agriculture” (2022, 20 citations), addresses a critical challenge in precision farming: accurately identifying tomato leaf diseases under real-world conditions. Kolhe’s key contribution lies in advancing beyond standard data augmentation techniques—such as rotation, flipping, and shifting—which she demonstrates have limited effectiveness for improving disease recognition. By proposing novel computational strategies, she enables more robust and reliable identification of agricultural conditions, directly supporting farmers in reducing crop loss. Her research bridges the gap between AI-driven image analysis and practical, deployable solutions for smallholder agriculture. With a growing citation impact and a focus on tangible outcomes, Kolhe is establishing herself as a promising voice in the intersection of machine learning and sustainable farming, offering tools that empower growers to spot threats earlier and manage yields more effectively.