Mohammad Huzaifa

Papers

Total Citations

H-Index

About

Mohammad Huzaifa is an emerging researcher at the intersection of intelligent systems and sustainable agriculture, with a primary focus on leveraging the Internet of Things (IoT) and Machine Learning (ML) to solve pressing challenges in food production. His most cited work, "Agrobot: Agricultural Robot using IoT and Machine Learning (ML)" (2023), introduces a novel robotic platform designed to automate critical farming tasks, addressing labor shortages and inefficiencies in crop management. By integrating real-time sensor data with ML-driven decision-making, Huzaifa’s Agrobot can monitor soil conditions, detect pests, and optimize irrigation—offering a scalable, low-cost solution for precision agriculture. Though his citation count is still growing, this paper has already garnered 4 citations, signaling early recognition for its practical impact. Huzaifa’s contributions stand out for their hands-on, application-oriented approach, bridging the gap between cutting-edge AI and the tangible needs of farmers. As global food demand rises, his work on autonomous agricultural robotics positions him as a promising voice in the push toward smarter, more resilient farming systems.