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Plant health is an essential factor to reduce the number of import in a country. In this research, we use paddy as an example to understand plant health. Our research is motivated by our belief that technology might aid in reducing chances of failed paddy harvest in Indonesia. To understand the plant health of paddy, we designed unmanned aerial vehicle (UAV) integrated pocket cameras to record near infra-red (NIR) light. Apart from NIR light data, we obtained the normalized difference vegetation index (NDVI) values of paddy to observe the plant health based on the photosystem metabolism that absorb red light and blue light and reflects green light and NIR light. Based on the test results, the values of NDVI are given −0.819672, 0.395018, 0.346667, 0.032680, 0.705628 and 0.302817. Based on values of NDVI, we conduct a validation test with farmers to compare NDVI values with actual conditions on the ground. Based on the test, the obtained value of NDVI was in accordance with the actual conditions in the field.

Design unmanned aerial vehicle integrated camera near infra-red to observe the plant health