Analysis and Management of Potato Yield Non-uniformity Using Helicopter-based Remote Sensing

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  • ヘリコプタベースリモートセンシングを利用した馬鈴薯生育のばらつきの解析と対策
  • ヘリコプタベースリモートセンシング オ リヨウ シタ バレイショ セイイク ノ バラツキ ノ カイセキ ト タイサク

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Precision agriculture is a management strategy that can be brought to bear on decisions associated with crop production, drawing data from multiple sources using information technologies. It can also help in grasping within-field variability and achieving uniform crop growth. In recent years, the use of satellite images has been researched in attempts to achieve uniform crop growth. However, it is difficult to use real-time satellite images of crop growth for decision making regarding crop growth uniformity because the satellite images are heavily dependent on weather conditions.<br>This research was carried out in a potato field where the fertilizer system was difference by preceding crops using a real-time information from an unmanned helicopter. Potato growth, soil information and management information were unified by a GIS, clarifying which factors drove potato growth.<br>Potato growth non-uniformity was found to be influenced by differences in the organic matter content remaining from preceding crops, and it was clarified that excessive nitrogenous fertilizer application in an area with a high organic matter content was the cause of a quality decrease. Therefore, the decision making in this field was clarified using variable-rate applications based on organic matter content. By incorporating elevation data from the unmanned helicopter into the GIS it was revealed that the area with a high organic matter content was in a concave portion of the field. Therefore, it was determined that appropriate nitrogen cultivation management of potato in the area with a high organic matter content required not only variable management but also drainage improvement.

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