Harvest smarter, not harder: Machine learning meets tomato farming

A study group led by Dr. David Helman from the Professors of Farming, Food and Atmosphere at the Hebrew College of Jerusalem has actually created an unique equipment finding out design using hyperspectral imaging to examine the high quality of tomatoes prior to harvest. Hyperspectral photos of certain varieties of light wavelengths, called spooky bands, are utilized to research things’ homes based upon just how they mirror light.

发布者:Dr.Durant,转转请注明出处:https://robotalks.cn/harvest-smarter-not-harder-machine-learning-meets-tomato-farming/

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