Plant Nutrition Deficiency in Python

Smart Farming utilizes information technology to facilitate farmers in carrying out their daily activities. One of the devices that can be used in supporting smart farming is a chlorophyll meter. This device could also be applied to monitor nitrogen deficiency status in plants. Nitrogen is the main element required for chlorophyll biosynthesis. By using chlorophyll meter, we could optimize the application of nitrogen fertilizer to increase yield, reduce the production cost, and circumvent excessive pollution to the environment. The chlorophyll meter is available in the market, however the price is still very expensive. Thus, the challenge is to develop a cheap and reliable chlorophyll meter tool. This paper provides a systematic review on the chlorophyll content measurement using the spectral properties of the plant. By using a systematic literature review method, 28 papers were selected as primary studies. Based on these primary studies it is known that chlorophyll content can be estimated by detecting reflected or transmitted light from the leaf using spectral sensor in visible and near infrared region.