[HTML][HTML] Recent Methods for Evaluating Crop Water Stress Using AI Techniques: A Review
SB Cho, HM Soleh, JW Choi, WH Hwang, H Lee… - Sensors, 2024 - mdpi.com
This study systematically reviews the integration of artificial intelligence (AI) and remote
sensing technologies to address the issue of crop water stress caused by rising global …
sensing technologies to address the issue of crop water stress caused by rising global …
Deep Learning in Plant Stress Phenomics Studies-A Review
S Patil, S Kolhar, J Jagtap - International Journal of Computing …, 2024 - journal.uob.edu.bh
Efficient crop management and treatment rely on early detection of plant stress. Imaging
sensors provide a non-destructive and commonly used method for detecting stress in large …
sensors provide a non-destructive and commonly used method for detecting stress in large …
Thermal–RGB Imagery and Computer Vision for Water Stress Identification of Okra (Abelmoschus esculentus L.)
Crop canopy temperature has proven beneficial for qualitative and quantitative assessment
of plants' biotic and abiotic stresses. In this two-year study, water stress identification in okra …
of plants' biotic and abiotic stresses. In this two-year study, water stress identification in okra …
A Hybrid IoT and Machine Learning Approach for Crop Recommendation Using a Voting Ensemble Model
A Suresh, BG Vani, M Lavanya… - … on Integrated Circuits …, 2024 - ieeexplore.ieee.org
Agriculture is a key component of a nation's economy. In the traditional method, farmers rely
on experience to determine the ideal climate and environment for a given crop. Technology …
on experience to determine the ideal climate and environment for a given crop. Technology …