Post-harvest drone flights to measure weed growth and yield associations

IF 2.3 4区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Jarrod O. Miller, Amy L. Shober, Mark J. VanGessel
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引用次数: 0

Abstract

Drone flights are often only performed during the growing season, with no data collected once harvest has been completed, although they could be used to measure winter annual weed growth. Using a drone mounted with a multispectral sensor, we flew small plot corn (Zea mays L.) fertility, cover crop, and population studies at black layer and 0–14 d after harvest (DAH). Yields had positive correlations to normalized difference vegetation index (NDVI) at black layer but often had negative correlations to corn yields 0–14 DAH. After harvest, NDVI could be associated with weed growth, and negative correlations to yield could point to reduced corn canopy allowing light to reach late-season weeds. In fertility studies, excess nitrogen appears to increase weed biomass after harvest, which can be easily identified through drone imagery. Flights should be performed after corn harvest as weed growth may provide additional insight into management decisions.

Abstract Image

收获后无人机飞行测量杂草生长和产量关联
无人机飞行通常只在生长季节进行,在收获完成后没有收集数据,尽管它们可以用来测量冬季的年度杂草生长情况。利用安装有多光谱传感器的无人机,对小块玉米(Zea mays L.)的肥力、覆盖作物和种群在黑层和收获后0-14 d (DAH)进行了研究。玉米产量与黑色层归一化植被指数(NDVI)呈显著正相关,与0 ~ 14 DAH呈显著负相关。收获后,NDVI可能与杂草生长有关,而与产量的负相关可能表明玉米冠层减少,使光照能够照射到晚季杂草。在生育力研究中,过量的氮似乎会增加收获后的杂草生物量,这可以通过无人机图像很容易地识别出来。飞行应在玉米收获后进行,因为杂草的生长可能为管理决策提供额外的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.70
自引率
3.80%
发文量
28
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