Sensors and Data-Driven Precision Agriculture

Dear Colleagues,

Now that agricultural machinery has become computerized and data-integrated systems are being realized, the data-driven nature of precision agriculture, which was originally built as part of a mechanized system, has become clear. Measuring crop vigor, which used to be extremely difficult, is gradually becoming possible with the evolution of multiband optical phenotyping, drones, and robots.

In light of the current state of agriculture, this Special Issue attempts to provide a glimpse into the forefront of science-based data-driven agriculture. For example, the development of multimodal sensors for measuring the soil environment, including soil microorganisms, and MEMS multispectroscopic devices for measuring the light environment that contribute to photosynthesis and photomorphogenesis, or scenarios for measuring and controlling both the environment and crops in institutional cultivation, where environmental control is possible. Other open field research topics include measurement of the growing environment, phenotyping and control strategies using 2D/3D image sensing and machine learning; measurement of communication between soil microorganisms and crops using advanced sensors.

Prof. Dr. Takaharu Kameoka
Prof. Dr. Kazuki Kobayashi
Dr. Wei Guo
Prof. Dr. Kotaro Takayama
Guest Editors

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