Hajar Elkhiri
Papers
1
Total Citations
11
H-Index
1
About
Hajar Elkhiri is at the forefront of precision agriculture, pioneering the integration of artificial intelligence, the Internet of Things (IoT), and big data analytics to solve critical challenges in modern farming. Her most-cited work, “Revolutionizing Weed Detection in Agriculture through the Integration of IoT, Big Data, and Deep Learning with Robotic Technology” (2023), introduces a groundbreaking deep learning framework that enables robotic weed control systems to accurately classify plants as crops or weeds. By leveraging advanced image processing algorithms, this approach dramatically reduces the need for chemical herbicides, promoting sustainable and efficient crop management. With 11 citations and growing, Elkhiri’s research is shaping the next generation of autonomous agricultural robots. Her contributions bridge the gap between computer vision and agri-robotics, offering scalable solutions for real-time, data-driven weed detection. For students and researchers exploring the intersection of AI and agriculture, Elkhiri’s work exemplifies how cutting-edge technology can transform traditional practices into smarter, more environmentally responsible systems.
Research Focus
Key Achievements
Top Papers
- 1