Health Analysis of Rice Plants Based on the Normalized Difference Vegetation Index (NDVI) Value in Image of Unmanned Aircraft (Case Study of Merauke - Papua Selatan)
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Remote sensing technology uses various vehicles including satellites, helicopters, aircraft, and Unmanned Aerial Vehicles (UAV) and Drones. Remote sensing technology is often used in agriculture, especially for monitoring rice fields, helping the age of rice and so on. In the current technological era, drone devices are vehicles that are often used to monitor rice fields which are considered effective, considering that the data obtained is the latest data during flights, this is also balanced with current developments in various fields, especially for capturing air, drones be an alternative choice than other alternatives that are considered conventional. Rice is an important cultivated crop because it is a staple food for 90% of Indonesia's population, and also for the people of Papua in Merauke, which is a national food storage area. However, the obstacle that is often experienced is interference from rice diseases. Therefore a fast and accurate analysis of the health of rice plants is needed using the NDVI or Normalized Difference Vegetation Index which is a method for comparing the level of greenness of vegetation originating from drone imagery, with the value of the NDVI we can know the classification of the health of rice plants. In this study the classification of rice plant health was divided into 4 classes. Very good health is in the NDVI value range 0.721-0.92, for good health the NDVI value range is between 0.421-0.72, and normal health NDVI values are in the range 0.221-0.42, while in poor health the NDVI value is 0.11-0.22. With the utilization of drone device technology, it is possible to analyze rice plants per hectare with a normal health classification with an area of 14,877,315 Ha. Whereas in the good health classification the area is 9,846,833 Ha and in the very good health classification the area is 8,922,892
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