Monitoring growth and predicting crop yield through UAV-mounted spectral camera analysis of the interplay between soil compaction and vegetation index

IF 0.7 4区 农林科学 Q3 AGRONOMY
Bui Van Huu, Ngo Quang Hieu, Luu Trong Hieu
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引用次数: 0

Abstract

This paper aims to introduce a prediction of crop yield based on relationship between soil compaction and vegetation index. The soil compaction increasingly with depth, which was calculated manuallyunevenly distributed in the field. The NDVI/NDRE was conducted by aerial spectral images taken by the UAV. To figure out connection, the Pearson’s correlation test was applied to analyze the correlation between factors. These research results show that the NDVI/NDRE in WS and SA crops increased and decreased steadily after reaching the maximum values (0.85 ± 0.02/ 0.38 ± 0.02 and 0.8 ± 0.02/ 0.28 ± 0.02) during the reproductive stage. The NDVI/NDRE had a high relationship with the plant height, tiller number, yield components of rice. WS and SA networks were built and tested according to the training algorithm in the Matlab software for predicting rice yield with high reliability. The developed models showcase promising results in forecasting rice yield, underscoring the potential applicability of this methodology in agricultural yield prediction.
通过无人机安装的光谱相机分析土壤压实度和植被指数之间的相互作用,监测作物生长情况并预测作物产量
本文旨在介绍一种基于土壤紧实度和植被指数之间关系的作物产量预测方法。土壤压实度随深度的增加而增加,这是由人工计算得出的,在田间分布不均。NDVI/NDRE 是通过无人机拍摄的航空光谱图像进行计算的。为了找出各因子之间的联系,采用了皮尔逊相关检验来分析各因子之间的相关性。研究结果表明,WS 和 SA 作物的 NDVI/NDRE 在生育期达到最大值(0.85 ± 0.02/ 0.38 ± 0.02 和 0.8 ± 0.02/ 0.28 ± 0.02)后稳步上升和下降。NDVI/NDRE 与水稻的株高、分蘖数和产量成份关系密切。根据 Matlab 软件中的训练算法,建立并测试了 WS 和 SA 网络,用于预测水稻产量,具有很高的可靠性。所开发的模型在预测水稻产量方面显示出良好的效果,突出了该方法在农业产量预测中的潜在适用性。
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
Emirates Journal of Food and Agriculture
Emirates Journal of Food and Agriculture AGRONOMYFOOD SCIENCE & TECHNOLOGY&nb-FOOD SCIENCE & TECHNOLOGY
CiteScore
1.80
自引率
0.00%
发文量
18
期刊介绍: The "Emirates Journal of Food and Agriculture [EJFA]" is a unique, peer-reviewed Journal of Food and Agriculture publishing basic and applied research articles in the field of agricultural and food sciences by the College of Food and Agriculture, United Arab Emirates University, United Arab Emirates.
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