Crop yield is directly affected by the plant macronutrients, mainly Nitrogen (N) and Phosphorous (P) status. farmers must determine when to apply N fertilizer as nitrogen deficiency leads to lower yield and economic loss.
Chlorophyll meter has been used for years to find the correlation between the leaf chlorophyll content and the plant nitrogen status. In general, chlorophyll meters are expensive even these handheld devices are built for ease of use. The function of the reaction center of chlorophyll is to absorb light energy and transfer it to other parts of the photosystem. CL in the leaf is strongly related to the Nitrogen (N) status of the plants.
Even though there are many CCI meters in the market, they are not affordable for farmers. This project focuses on the development of low-cost CCI meters for farmers. The basic principle of this project is optics. A spectral sensor from AMS is used in this project [compact, low-cost, advanced technology system-on-chip spectrometer].
The data from different wavelengths is captured from a leaf and is processed by the MCU. Post-processing, the data is then sent to the App on the smartphone via Bluetooth (Classic). As of now, the android app can give the CCI data based on a custom-developed reference scale.
(screenshot of the android app)
Note:
This is my MSc course project. The project is not open source & still under development (PoC completed!). Feel free to contact me at d.prasannaakumar@gmail.com for more information.
Will the App tell you whether the level of Chlorophyll in the leaf are adequate? Many thanks for working out on this meaning project.