Vol - 17, Issue - 09
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Journal of the Austrian Society of Agricultural Economics (JASAE)
Journal ID : JASAE-25-08-2021-106
Total View : 441

Title : Building digital agriculture maps based on drone and AI
by Nguyen Le Dung, Nguyen Le Dung, Vo Quoc Long, Pham Ngoc Tuan,
Abstract : With increasingly advanced technology, drones [1- 11] become popular and applied in many fields, in which agriculture is a large area that digital mapping platforms are very focused on. We apply drones to collect image information, GPS, IMU sensors on a large scale, from which to combine into a digital map system (Ransac, Mosaic, Stitching.). The vegetation spectral indices separated from the near-infrared, infrared and red bands are intermediate parameters from which different characteristics of vegetation such as biomass, index can be seen. leaf area, photosynthetic capacity, and total seasonal biomass products that plants can produce. These characteristics are related and highly dependent on the type of vegetation cover and weather, physiological, biochemical and pest characteristics… Approximate technology for monitoring the characteristics of different ecosystems to recognize standard forms and comparisons between them. From this data, we evaluate the quality of plants through the Normalized difference vegetation index (NDVI), in addition, we use the Object detection (Yolo) model to classify plants, animals, and forest fires on the data map.

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