Image fusion of visible and thermal images for fruit detection.

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Sensors and systems for fruit detection and localization: A review (2015, background): “Researchers (Bulanon et al., 2008, 2009; Stajnko et al., 2004) have used thermal imaging to detect fruit based on the temperature difference between the fruit and background.”
Research and development in agricultural robotics: a perspective of digital farming. (2018, background): “…sophisticated devices such as infrared [47] , thermal [155] , hyperspectral cameras [156] , LiDAR [32,39,40,157] , or combination of multi-sensors [158] that are adopted with novel vision-based techniques for extracting spatial information from the images for fruit detection, recognition,…”
Behavioral thermoregulation in a tropical gastropod: links to climate change scenarios (2011, background): “Infrared thermography is commonly used in a wide range of fields that includes animal physiology and behavior (Bulanon et al., 2009; Montanholi et al., 2010).”
Visible and Infrared Image Fusion Using Deep Learning (2023, background): “Many evaluation metrics, such as cross entropy (CE) [187], spatial frequency (SF) [188], and normalized mutual information (NMI) [189], have been proposed.”