Victor Alchanatis

TL;DR: Parameter variability and robustness of the different CWSI estimates are discussed, and future research should aim at developing thermal imaging into an irrigation scheduling tool applicable to different crops.

TL;DR: The distribution of LWP in the maps showed that irrigation treatments were better distinguished from each other when the maps were calculated from CWSI than from leaf temperature alone, and the inclusion of the spatial pattern in the classification enhanced the differences between the treatments and was better matched to irrigation amounts.

TL;DR: A thermal image and a visible image of an orange canopy scene were fused to improve fruit detection and showed that both image fusion methods improved fruit detection when compared to using the thermal image alone.

TL;DR: In this paper, the authors explored the potential and limitations of using the red-edge spectral bands of the forthcoming superspectral satellites, namely, Vegetation and Environmental New micro Spacecraft (VENμS) and Sentinel-2, for assessing LAI in field crops.

TL;DR: In this article, a high-resolution thermal imaging system was used to map crop water status from digital infrared images of the canopy and the effect of time of day on leaf temperature measurements was studied: midday was found to be the optimal time for thermal image acquisition.