Abstract: The integration of Internet of Things (IoT) technology with deep learning (DL) algorithms has revolutionized plant disease detection and crop management and paved the way for sustainable ...
A study, produced by researchers from Sultan Qaboos University in Oman, spanning the Department of Soils, Water, and Agricultural Engineering, the Remote Sensing and GIS Research Center, and the ...
Abstract: Detection of plant leaf disease is crucial for achieving good yields and maintaining crop health. This early identification aids farmers who may not be familiar with all crop diseases by ...
As plant diseases continue to threaten global food security, AI-powered drones and advanced machine learning models are revolutionizing early detection methods, offering scalable, efficient, and ...
Machine learning and computer vision technologies based on high-resolution imagery acquired using unmanned aerial systems (UAS) provide a potential for accurate and efficient high-throughput plant ...
1 School of Computer Science & Technology, Dalian University of Technology, Dalian, China. 2 School of Computer Science & Technology, Xinjiang Normal University, Urumqi, China. Nowadays, crop diseases ...
Cassava is the third largest source of carbohydrates for human food in the world but is vulnerable to virus diseases, which threaten to destabilize food security in sub-Saharan Africa. Novel methods ...
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