Estimation of soil salinity in rice fields via satellite imagery and machine learning

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.

Optimizing soil-moisture sensor placement according to seasonal and site conditions for smart irrigation using satellite data and machine learning

Okacha Amraouy, Siham Kharraz, Mohammed Benbrahim, Mohammed Nabil Kabbaj

Estimation of leaf nitrogen concentration at different leaf positions in rice based on UAV RGB images combined with machine-learning algorithms

Boteng Sun, Wei Zhou, Songde Huang, Qi Liu, Shilin Zhu, Jinyue Guo, et al.

A machine learning approach to developing behaviour classification models of grazing cattle using Global Navigation Satellite System (GNSS) data

Hong Viet Duong, Gamaliel Simanungkalit, Derek Schneider, Frances Cowley, David Lamb, Stephen Ives, et al.

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

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.