R. Gerhards, Dionisio Andújar Sanchez, P. Hamouz, G. Peteinatos, S. Christensen, C. Fernández-Quintanilla
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引用次数: 39
Abstract
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
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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