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Multimodal Remote Sensing Application for Weed Competition Time Series Analysis in Maize Farmland Ecosystems by Longzhe Quan; Zhaoxia Lou; Xiaolan Lv; Deng Sun; Fulin Xia; Hailong Li; Wenfeng Sun is a scholarly article available to read on EtoBox.

What is Multimodal Remote Sensing Application for Weed Competition Time Series Analysis in Maize Farmland Ecosystems about?

Although weeds cause serious harm to crops through competition for resources, they also have ecological functions. We need to study the change law of competition between crops and weeds, and achieve scientific farmland weed management under the premise of protecting weed biodiversity. In the research, we perform a competitive experiment in Harbin, China, in 2021, with five periods of maize as the study subjects. Comprehensive competition indices (CCI-A) based on maize phenotypes were used to describe the dynamic processes and results of weeds competition. The relation between in structural and biochemical information of maize and weed competitive intensity (Levels 1–5) at different periods and the effects on yield parameters were analyzed. The results showed that the differences of maize plant height, stalk thickness, and N and P elements among different competition levels (Levels 1–5) changed significantly with increasing competition time. This directly resulted in 10%, 31%, 35% and 53% decrease in maize yield; and 3%, 7%, 9% and 15% decrease in hundred grain weight. Compared to the conventional competition indices, CCI-A had better dispersion in the last four periods and was more

Author

Longzhe Quan; Zhaoxia Lou; Xiaolan Lv; Deng Sun; Fulin Xia; Hailong Li; Wenfeng Sun

Publisher

Elsevier BV

Published

2023

Language

EN