Chlorophyll sustains plants as it is one of the vital components in the photosynthesis process. Chlorophyll content in the leaf indicates the health of the plants and it can be used as an indicator for fertilizer requirement, in particular for Nitrogen management, in the growing cycle of certain crops. Chlorophyll measurement is required for the growers to monitor and make decision for fertilization schedule. The measurement is also needed for plant scientists. Chlorophyll meters are used to measure the relative chlorophyll content index in the leaf either by chemical process, image processing, or spectroscopy technique. In general, chlorophyll meters are expensive. This work proposes a low-cost meter to measure the chlorophyll index by exploiting the newly-developed near-infrared spectrometer. The NIR spectrometer is an optical MEMS sensor having 6 channels spanning from 610nm to 860nm. The simple prototype was built by using the common Raspberry Pi to collect data from the spectrometer. Fifteen leaf samples from various tree types were measured and data were analyzed. The results were compared with the commercial hand-held device, the SPAD-502. An average error of 7.84% was obtained using the designed meter. Off-the-shelf components provide a fraction of the cost of the high-end meters for an acceptable chlorophyll content index reading.
Lương Vinh Quốc Danh, Nguyễn Văn Khanh, Võ Duy Tín, Võ Minh Trí, 2014. Hệ thống quản lý tự động ghi nhận tình trạng sử dụng thiết bị điện qua mạng cục bộ. Tạp chí Khoa học Trường Đại học Cần Thơ. 31: 1-7
Tạp chí: The 7th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2018), Da Nang, Vietnam, Nov. 29-30, 2018
Tạp chí khoa học Trường Đại học Cần Thơ
Lầu 4, Nhà Điều Hành, Khu II, đường 3/2, P. Xuân Khánh, Q. Ninh Kiều, TP. Cần Thơ
Điện thoại: (0292) 3 872 157; Email: tapchidhct@ctu.edu.vn
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