Shajin Prince

Papers

Total Citations

232

H-Index

About

Shajin Prince is a researcher whose work sits at the dynamic intersection of artificial intelligence, computer vision, and intelligent automation, with particular focus on precision agriculture and assistive technology. Best known for his highly cited 2021 review on deep learning-based crop bloom and yield recognition — which has garnered over 170 citations — Prince has made significant contributions to advancing smart agricultural systems by exploring how AI models can interpret complex crop imagery to optimize yields across variable climate and soil conditions. His 2020 review on machine vision and machine learning for intelligent agrobots, with 45 citations, further demonstrates his commitment to autonomous farming solutions, covering critical agricultural tasks such as harvesting, weed detection, and disease identification in unstructured environments. Beyond agriculture, Prince has expanded his research into humanitarian applications of AI, notably developing an emotion therapy bot for children with Autism Spectrum Disorder that leverages facial expression recognition to support interpersonal communication — a work already attracting growing scholarly attention since its 2023 publication. Collectively, his research reflects a consistent and impactful vision: harnessing intelligent systems to solve real-world challenges in both food security and human health.