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Unmanned Aerial Vehicle (UAY) data analysis for fertilization dose assessment

机译：无人机数据（UAY）数据分析，用于施肥剂量评估

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摘要

The growth rate monitoring of crops throughout their biological cycle is very important as it contributes to the achievement of a uniformly optimum production, a proper harvest planning, and reliable yield estimation. Fertilizer application often dramatically increases crop yields, but it is necessary to find out which is the ideal amount that has to be applied in the field. Remote sensing collects spatially dense information that may contribute to, or provide feedback about, fertilization management decisions. There is a potential goal to accurately predict the amount of fertilizer needed so as to attain an ideal crop yield without excessive use of fertilizers cause financial loss and negative environmental impacts. The comparison of the reflectance values at different wavelengths, utilizing suitable vegetation indices, is commonly used to determine plant vigor and growth. Unmanned Aerial Vehicles (UAVs) have several advantages; because they can be deployed quickly and repeatedly, they are flexible regarding flying height and timing of missions, and they can obtain very high-resolution imagery. In an experimental crop field in Eleftherio Larissa, Greece, different dose of pre-plant and in-season fertilization was applied in 27 plots. A total of 102 aerial photos in two flights were taken using an Unmanned Aerial Vehicle based on the scheduled fertilization. A correlation of experimental fertilization with the change of vegetation indices values and with the increase of the vegetation cover rate during those days was made. The results of the analysis provide useful information regarding the vigor and crop growth rate performance of various doses of fertilization.
机译：在整个生物周期内对作物的生长速度进行监测非常重要，因为它有助于实现均匀最佳的产量，正确的收获计划以及可靠的产量估算。施肥通常会显着提高农作物的产量，但是有必要找出在田间必须施用的理想量。遥感收集空间密集的信息，这些信息可能有助于或提供有关施肥管理决策的反馈。一个潜在的目标是准确地预测所需的肥料量，以便在不过度使用肥料的情况下获得理想的农作物产量，从而不会造成经济损失和负面的环境影响。利用合适的植被指数比较不同波长下的反射率值通常用于确定植物的活力和生长。无人机（UAV）具有多个优点；由于可以快速重复地部署它们，因此它们在飞行高度和任务时机方面很灵活，并且可以获得非常高分辨率的图像。在希腊埃莱夫塞里奥·拉里萨（Eleftherio Larissa）的一个试验性农作物田中，在27个样地中施用了不同剂量的播前和季节性施肥。使用无人驾驶飞机，根据预定的受精时间，在两次飞行中总共拍摄了102张航拍照片。得出了当日试验施肥与植被指数值的变化以及植被覆盖率的增加之间的关系。分析结果提供了有关各种剂量施肥的活力和农作物生长速率性能的有用信息。

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  • 来源
  • 会议地点 Warsaw(PL)
  • 作者

    Antonis Kawadias; Emmanouil Psomiadis; Maroulio Chanioti; Alexandros Tsitouras; Leonidas Toulios; Nicholas Dercas;

  • 作者单位

    En Agris LLC, Evias 3 15125, Maroussi, Greece;

    Agricultural University of Athens, Department of Natural Resources Management Agricultural Engineering, Iera Odos 75, 118 55, Athens, Greece;

    Inforest Research o.c, Glaraki 10B, 11145, Athens, Greece;

    Hellenic Agricultural Organization 'DEMETER', Directorate General of Agricultural Research Institute of Soil Mapping and Classification, 1 Theophrastos street, 41335 Larissa, Greece;

    Hellenic Agricultural Organization 'DEMETER', Directorate General of Agricultural Research Institute of Soil Mapping and Classification, 1 Theophrastos street, 41335 Larissa, Greece;

    Agricultural University of Athens, Department of Natural Resources Management Agricultural Engineering, Iera Odos 75, 118 55, Athens, Greece;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    UAV; Fertilization; NDVI; Industrial Tomato; Eleftherio/Larissa;

    机译：无人机施肥; NDVI；工业番茄； Eleftherio /拉里萨;

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