Smart Agriculture Technologies
Computer vision technologies are increasingly applied across diverse fields, from object detection to complex analytical systems. In agriculture, methods such as thermal and short-wave imagery enable the monitoring of plant conditions through indices such as the Normalized Difference Water Index (NDWI) and Crop Water Stress Index (CWSI). This paper explores the potential and limitations of applying computer vision for plant stress detection, providing insights to advance understanding in this growing field.