K P Peeyush

Papers

Total Citations

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About

K P Peeyush is a researcher focused on agricultural robotics and precision farming, with a particular emphasis on developing autonomous systems that address critical challenges in modern agriculture. His work centers on creating accessible, low-maintenance robotic solutions that reduce human labor and operational costs for farmers. Peeyush’s most cited paper, “Autonomous Seed Sowing Agricultural Robot” (2018, 38 citations), introduces a robot designed to automate seed planting with minimal maintenance requirements, aiming to bridge the gap between advanced technology and practical farm use. He further advanced plant health monitoring with “Autonomous Robot to Detect Diseased Leaves in Plants using Convolutional Neural Networks” (2019, 9 citations), which combines a smartphone camera and Arduino-based navigation to identify diseased foliage in real time. His research on “Pests & Weed Control Autonomous Robot using Machine Vision” (2021, 6 citations) explores sustainable coexistence between agriculture and nature through machine vision for targeted pest and weed management. Peeyush’s contributions are notable for their focus on cost-effective, user-friendly automation, making sophisticated agricultural technology more accessible to small-scale farmers. His work has implications for reducing chemical usage and improving crop yields, positioning him as a practical innovator in the field of agricultural robotics.