Monitoring spatial and time-series variations in red crown rot damage of soybean in farmer fields based on UAV remote sensing
Monitoring spatial and time-series variations in red crown rot damage of soybean in farmer fields based on UAV remote sensing
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DOI：
10.1080/1343943x.2023.2178469
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发表时间：
2023-01
影响因子：
2.5
通讯作者：
Shuhei Yamamoto;Shuhei Nomoto;Naoyuki Hashimoto;M. Maki;C. Hongo;T. Shiraiwa;K. Homma
中科院分区：
文献类型：
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作者：
Shuhei Yamamoto;Shuhei Nomoto;Naoyuki Hashimoto;M. Maki;C. Hongo;T. Shiraiwa;K. Homma
摘要红冠腐病(RCR)是一种危害大豆生长、减产的土传病害。受感染的植物表现出更早的落叶和铅笔状的根，有时会导致死亡。这种疾病是最近才流行起来的，有关其田间规模外观的信息不足。在规划对策时，数据不足是一个主要制约因素。在这项研究中，利用无人机(UAV)获取的图像来可视化2018年和2020年同一农民田地受RCR破坏的区域的空间和时间序列变化。田间调查表明，大豆赤霉病严重危害大豆生产。预计2018年和2020年的减产幅度分别为17.5%和12.7%。可视化的损伤阐明了两年间RCR增长速度和模式的差异。2018年，受灾面积沿着种植行扩大到全田，但到了2020年，沿种植行扩展不大，一半的田地仍然是零星受损。这一差异表明，多种因素与危害发生和病原菌分布有关。本文所采用的方法在RCR损伤可视化方面是有效的，但在中间损伤评估和评估程序的通用化方面还需要进一步改进。图形摘要
ABSTRACT Red crown rot (RCR) is a soil-borne disease that damages soybean growth and decreases yield. Infected plants show earlier defoliation and pencil-like roots, sometimes resulting in mortality. This disease became common relatively recently, and information about its field-scale appearance is insufficient. Insufficient data is a major constraint when planning countermeasures. In this study, unmanned aerial vehicle (UAV)-acquired images were used to visualize the spatial and time series variation in the area damaged by RCR in the same farmer fields in 2018 and 2020. Field investigation showed that RCR severely damaged soybean production. The reductions of yield were estimated at 17.5% and 12.7% in 2018 and 2020, respectively. The visualized damage clarified the difference in the increasing rate and patterns of RCR between the 2 years. In 2018, the damaged area expanded along the planting row to the whole field, but in 2020, the expansion along the planting row was not great, and half of the fields remained sparsely damage. This difference implies that various factors are associated with damage occurrence and pathogen distribution. The method applied in this study is effective in visualizing RCR damage, but further improvement is required in the evaluation of intermediate damage and the generalization of the evaluation procedure. GRAPHICAL ABSTRACT