crossrefSmart Agricultural Technology2026-08-01Cited by 0

An explainable AI framework (XAI-CoffeeNet) with deep learning and vision transformers for Saudi coffee disease recognition and severity assessment

Mohsen H. Alhazmi

Related papers

crossrefSmart Agricultural Technology2026-08-01Cited by 3

A review of cattle behavior recognition methods based on computer vision and deep learning

Lei Yuan, Weiran Li, Jun Yue, Zhenbo Li, Yixun Zhao, Qiaoyu Li, et al.

crossrefSmart Agricultural Technology2026-08-01Cited by 2

Detection and gradation of sweet potato storage roots by machine vision and deep learning

Yueming Zhu, Xujing Xia, Junkai Zhou, Alwaseela Abdalla, Ximing Xu, Guoquan Lu, et al.

crossrefSmart Agricultural Technology2026-07-01

Deep Learning based 2D Computer Vision in Precision Livestock Farming for Pigs: A Systematic Literature Review and Future Research Directions

Hassan-Roland Nasser, Claudia Kasper, Vladimir Živković

crossrefSmart Agricultural Technology2026-08-01

Real-time maize crown detection and robotic autonomous navigation for precision fertilization via lightweight-improved deep learning

Xiangyin Meng, Fei Cao, Zhilin Chen, Ying Cao, Jinsong Li, Ying Li, et al.

Also available via: Smart Agricultural Technology

crossrefSmart Agricultural Technology2026-07-01

Integrating Satellite Retrieval, Progressive Strategy and Machine Learning for Surface Soil Moisture Forecasting and Deep-Layer Estimation

Xinyu Gao, Jihua Meng, Zhenxin Lin, Yanfei Du, Haibin Xiong, Rongpeng He, et al.

crossrefSmart Agricultural Technology2026-08-01

A new approach for estimating the three-dimensional spatiotemporal distribution of wheat canopy water content based on multi-source data and machine learning

Yangyang Gu, Yongqing Wang, Yangming Zhang, Yapeng Wu, Tongjie Li, Hongxu Ai, et al.

Also available via: Smart Agricultural Technology