Abstract
The purpose of this study was to help farmers predict the spread of rice planthopper pests by utilizing Autonomous Drone Mapping technology with Ground Sampling Area. The object under study was rice farming land with an area of 64.5 m2 which often experienced disturbances in productivity and quality of rice. Autonomous Drone Mapping Technology with Ground Sampling Area integration. This technology is used to detect the spread of leafhoppers on agricultural land through mapping of the affected land through a map of conditions resulting from shooting and imagery produced by drones flown over agricultural land. This technology can help rice farmers to predict pest attack from an early age by handling and preventive measures so that the level of productivity and quality of rice is not compromised. Prediction analysis can take advantage of remote imaging photos from the use of Autonomous Drone Mapping with Ground Sampling Area by analyzing the spread prediction data with Tren Forecasting Prediction. Based on the analysis of the predictions from the photo of the spread of planthopper pests, the distribution formula is y = 25.396 ln(x) -34.948 with the maximum spread of leafhoppers occurring on the 49th day so that serious handling is needed by farmers.
Highlights
Penyebaran serangan hama wereng pada lahan pertanian menjadi masalah klasik yang masih belum terpecahkan
help farmers predict the spread of rice planthopper pests by utilizing Autonomous Drone Mapping technology
This technology is used to detect the spread of leafhoppers on agricultural land
Summary
Penyebaran serangan hama wereng pada lahan pertanian menjadi masalah klasik yang masih belum terpecahkan. P enurunan tersebut dikarenakan banyak faktor, salah satu faktor yang banyak merugikan dan menjadi perhatian khusus petani adalah penyebaran hama wereng yang berujung pada menurunnya produktifitas tanaman padi hingga gagal panen. Salah satu pengembangan teknologi yang dapat membantu petani dalam mengatasi penyebaran hama hama wereng (Nilapartava Lugens) tanaman padi adalah dengan memanfaatkan fungsi teknologi autonomous drone mapping yang diintegrasikan dengan Ground Sampling Area yang dapat digunakan untuk mendeteksi penyebaran hama wereng sehingga dapat dilakukan penanganan lebih lanjut untuk meningkatkan produktifitas dan minimal mengurangi dampak kegagalan panen. Analisis Prediksi Sebaran Nilaparvata Lugens (Hama Wereng) Tanaman Padi Menggunakan Teknologi Autonomous Drone Mapping dengan Graound Sampling Area jangkauan yang maksimum sehingga mampu menjangkau lahan pertanian yang terdampak penyebaran hama wereng. Komponen pendukung lain pada teknologi ini adalah pixhwak, telemetry, banana plug, motor brushless, PDB serta GPS 3DR yang terintegrasi dalam satu sistem
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