Jamaludin Indra

KPR Institute of Engineering and Technology

Papers

Total Citations

H-Index

About

Jamaludin Indra is a leading researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and precision agriculture. His primary research areas focus on developing intelligent, sensor-driven systems for crop monitoring and disease management, with a particular emphasis on fruit quality assessment. Indra’s most notable contribution is the creation of the AI-based Fruit Disease Identification System (AI-FDIS), a pioneering framework that integrates IoT sensors with machine learning to detect early-stage fruit diseases and optimize harvest timing. This work, published in 2023 and already garnering 12 citations, demonstrates his ability to translate complex computational models into practical, real-world agricultural solutions. By enabling early disease detection during active growth phases, Indra’s research directly addresses critical challenges in food security and sustainable farming. His approach not only safeguards crop yields but also enhances productivity through data-driven decision-making. As a rising voice in smart agriculture, Indra’s work is essential reading for students and researchers interested in the convergence of AI, IoT, and environmental monitoring, offering a clear blueprint for how technology can revolutionize traditional farming practices.