Soo Been Cho, Hidayat Mohamad Soleh, Ji Won Choi, Woon-Ha Hwang, Hoonsoo Lee, Young-Son Cho, Byoung-Kwan Cho, Moon S. Kim, Insuck Baek, Geonwoo Kim (2024)
Recent Methods for Evaluating Crop Water Stress Using AI Techniques: A Review.
Sensors24: 6313.
DOI: 10.3390/s24196313
Mahfuzur Rahman, Md Mehedi Hasan, Md Anuwer Hossain, Utpal Kanti Das, Md Monirul Islam, Mohammad Rezaul Karim, Hamid Faiz, Zulfiqar Hammad, Shamsher Sadiq, Mehtab Alam (2025)
Integrating deep learning algorithms for forecasting evapotranspiration and assessing crop water stress in agricultural water management.
Journal of Environmental Management375: 124363.
DOI: 10.1016/j.jenvman.2025.124363
Arturs Kempelis, Andrejs Romanovs, Antons Patlins (2022)
Using Computer Vision and Machine Learning Based Methods for Plant Monitoring in Agriculture: A Systematic Literature Review.
2022 63rd International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)
: 1.
DOI: 10.1109/ITMS56974.2022.9937119
Earl John C. Flores, Jeremias A. Gonzaga, Gerardo L. Augusto, Joseph Aldrin T. Chua, Laurence A. Gan Lim (2023)
Deep Learning-Based Vision System for Water Stress Classification of Lettuce in Pot Cultivation.
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
: 1.
DOI: 10.1109/HNICEM60674.2023.10589156
Pabelco Zambrano, Fernanda Calderon, Héctor Villegas, Jonathan Paillacho, Doménica Pazmiño, Miguel Realpe (2023)
UAV Remote Sensing applications and current trends in crop monitoring and diagnostics: A Systematic Literature Review.
2023 IEEE 13th International Conference on Pattern Recognition Systems (ICPRS)
: 1.
DOI: 10.1109/ICPRS58416.2023.10179038
Gustavo Ferreira, Octavian Postolache, Pedro Sebastião (2024)
A Deep Learning Toolkit for Water Stress Detection in Viticulture.
2024 International Symposium on Sensing and Instrumentation in 5G and IoT Era (ISSI)
: 1.
DOI: 10.1109/ISSI63632.2024.10720501