Smart Agriculture, where big data is collected by sensors connected through IoT and analyzed by AI, is
now spreading worldwide. A critically important technology in this is imaging devices; they can extract
morphological and spectroscopic features related to the size, shape and quality of agricultural products.
Since fluorescent substances are present in most agricultural products, such as protein, free amino acids,
vitamins, and organic compounds (including polyphenols, flavonoids and chlorophyll), which have distinctive
excitation and emission wavelengths, fluorescent imaging features can act to identify and quantify
slight skin injuries, quality characteristics, growth stage, condition, chemical residues, and foreign
materials in agricultural, livestock and aquacultural products. To further propel this smart agriculture
based on this precise and detailed information, optical systems for fluorescent imaging need to be developed
with a detailed understanding of the fluorescent properties of agricultural products as it passes
through the production/ supply chain.
抄録全体を表示