农业特定地点杂草管理研究进展综述

IF 2.2 3区 农林科学 Q2 AGRONOMY Weed Research Pub Date : 2022-03-10 DOI:10.1111/wre.12526
R. Gerhards, Dionisio Andújar Sanchez, P. Hamouz, G. Peteinatos, S. Christensen, C. Fernández-Quintanilla
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引用次数: 39

摘要

信息技术和自动化技术的发展为杂草管理开辟了一个新的时代,使物理和化学控制措施适应农田杂草分布的时空异质性。本文综述了特定场地杂草管理(SSWM)技术,评价了其生态效益和经济效益,并对其在实际农业生产中的应用进行了展望。传感器技术包括3D相机、多光谱成像和用于杂草分类和计算机决策的人工智能(AI)
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Advances in site‐specific weed management in agriculture—A review
The developments of information and automation technologies have opened a new era for weed management to fit physical and chemical control treatments to the spatial and temporal heterogeneity of weed distributions in agricultural fields. This review describes the technologies of site-specific weed management (SSWM) systems, evaluates their ecological and economic benefits and gives a perspective for the implementation in practical farming. Sensor technologies including 3D cameras, multispectral imaging and Artificial Intelligence (AI) for weed classification and computer-based decision
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来源期刊
Weed Research
Weed Research 农林科学-农艺学
CiteScore
4.30
自引率
0.00%
发文量
41
审稿时长
12-24 weeks
期刊介绍: Weed Research is an international peer-reviewed journal that publishes topical and innovative papers on weed science, in the English language. Its aim is to publish the best weed science from around the globe and to be the journal of choice for weed science researchers. It is the official journal of the European Weed Research Society. Papers are taken on all aspects of weeds, defined as plants that impact adversely on economic, aesthetic or environmental aspects of any system. Topics include, amongst others, weed biology and control, herbicides, invasive plant species in all environments, population and spatial biology, modelling, genetics, biodiversity and parasitic plants. The journal welcomes submissions on work carried out in any part of the world.
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