Crop status sensing system by multi-spectral imaging sensor, 1: Image processing and paddy field sensing
2006
Ishii, K.(Hokkaido Univ., Sapporo (Japan)) | Sugiura, R. | Fukagawa, T. | Noguchi, N. | Shibata, Y.
The objective of the study is to construct a sensing system for precision farming. A Multi-Spectral Imaging Sensor (MSIS), which can obtain three images (G. R and NIR) simultaneously, was used for detecting growth status of plants. The sensor was mounted on an unmanned helicopter. An image processing method for acquiring information of crop status with high accuracy was developed. Crop parameters that were measured include SPAD, leaf height, and stems number. Both direct seeding variety and transplant variety of paddy rice were adopted in the research. The result of a field test showed that crop status of both varieties could be detected with sufficient accuracy to apply to precision farming.
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