TY - JOUR 
A1 - Giménez Gallego, Jaime
AU - González Teruel, Juan Domingo
AU - Soto Vallés, Fulgencio
AU - Jiménez Buendía, Manuel
AU - Navarro Hellín, Honorio
AU - Torres Sánchez, Roque
T1 - Intelligent thermal image-based sensor for affordable measurement of crop canopy temperature
Y1 - 2021
SN - 0168-1699
UR - http://hdl.handle.net/10317/10995
AB - Crop canopy temperature measurement is necessary for monitoring water stress indicators such as the Crop Water Stress Index (CWSI). Water stress indicators are very useful for irrigation strategies management in the precision agriculture context. For this purpose, one of the techniques used is thermography, which allows remote temperature measurement. However, the applicability of these techniques depends on being affordable, allowing continuous monitoring over multiple field measurement. In this article, the development of a sensor capable of automatically measuring the crop canopy temperature by means of a low-cost thermal camera and the implementation of artificial intelligence-based image segmentation models is presented. In addition, we provide results on almond trees comparing our system with a commercial thermal camera, in which an R-squared of 0.75 is obtained.
KW - Ingeniería Eléctrica
KW - Tecnología Electrónica
KW - Precision agriculture
KW - Deficit irrigation
KW - CWSI
KW - Thermography
KW - Image segmentation
KW - 3306 Ingeniería y Tecnología Eléctricas
LA - eng
PB - ELSEVIER
ER -