Manish Patel

Manish Patel is a Research Fellow at CSIRO's Ag & Food Division, where he integrates computer vision, machine learning, and artificial intelligence to develop high-throughput crop disease detection systems. Previously, he worked as a research assistant at the University of Melbourne on nutrient and leaf area index sensing for crop modeling.

His research focuses on remote sensing of vegetation, canopy nitrogen concentration modeling, and AI-driven agricultural technologies, combining data mining, deep learning, and crop physiology to create cross-growth-stage and cross-crop-type models.

His publications highlight advancements in multispectral/hyperspectral imaging and machine learning applications for crop health monitoring, with recent work on YOLO-v8-based disease phenotyping and waveband contribution analysis for nitrogen estimation. While no formal scientific awards are explicitly mentioned, his contributions span diverse subfields like precision agriculture, vegetation indices, and agricultural data science.