A Rice Leaf Color Chart using Low-Cost Visible Spectro Sensor
Tran Khac Duy1, Tran Thi Ngoc Huyen2, Nguyen Minh Trang3, Luong Vinh Quoc Danh4, Anh Dinh5
1Tran Khac Duy, Department of Electronics and Telecommunication Engineering, College of Engineering, Cantho University, Can Tho, Vietnam, Asia.
2Tran Thi Ngoc Huyen, Department of Electronics and Telecommunication Engineering, College of Engineering, Cantho University, Can Tho, Vietnam, Asia.
3Nguyen Minh Trang, Department of Electronics and Telecommunication Engineering, College of Engineering, Cantho University, Can Tho, Vietnam, Asia.
4Luong Vinh Quoc Danh, Department of Electronics and Telecommunication Engineering, College of Engineering, Cantho University, Can Tho, Vietnam, Asia.
5Anh Dinh, Department of Electronics and Telecommunication Engineering, College of Engineering, Cantho University, Can Tho, Vietnam, Asia.
Manuscript received on 03 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript Published on 10 July 2019 | PP: 27-30 | Volume-8 Issue-7C2 May 2019 | Retrieval Number: G10070587C219/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Rice yield is directly affected by the plant macronutrients, mainly Nitrogen (N) status. During growing cycle, farmers must determine when to apply N fertilizer as the nitrogen deficiency leads to lower yield and economic lost. Chlorophyll meter and leaf color chart (LCC) have been used for years to find the correlation between the rice chlorophyll and its nitrogen use, hence the demand of N in the field during growing cycle. LCC is more preferred as it is the least expensive but the technique is not accurate and the readings are not consistent. This work develops a very simple sensor device which uses extremely low-cost, off-the-shelf optical components to replace the rice leaf color chart. The heart of the device is the AS7262 6- Channel Visible Spectral ID device made by AMS. The sensor prototype was built and tested. Preliminary results show a promising device which is very low cost, simple, low maintenance, and easy to use in the field to support rice growers to determine the need for nitrogen in the growing cycle.
Keywords: Rice Leaf Nitrogen, Leaf Color Chart, Visible Spectrometer, Low-Cost Sensor.
Scope of the Article: Cloud, Sensor Cloud and Mobile Cloud Security