Key Technologies of Intelligent Weeding for Vegetables: A Review

被引:2
|
作者
Jiao, Jinkang [1 ,2 ,3 ,4 ]
Zang, Ying [1 ,3 ,4 ,5 ]
Chen, Chaowen [1 ,3 ,4 ]
机构
[1] South China Agr Univ, Coll Engn, Guangzhou 510642, Peoples R China
[2] Shaoguan Univ, Sch Intelligent Engn, Shaoguan 512005, Peoples R China
[3] South China Agr Univ, Key Lab Key Technol Agr Machine & Equipment, Minist Educ, Guangzhou 510642, Peoples R China
[4] State Key Lab Agr Equipment Technol, Guangzhou 100083, Peoples R China
[5] Guangdong Prov Key Lab Agr Artificial Intelligence, Guangzhou 510642, Peoples R China
来源
AGRICULTURE-BASEL | 2024年 / 14卷 / 08期
关键词
intelligent weed control; vegetable; weed detection; weeding robot; CROP ROW DETECTION; VISION-BASED CLASSIFICATION; SUGAR-BEET; PRECISION AGRICULTURE; VOLUNTEER POTATO; IDENTIFICATION; LIDAR; DISCRIMINATION; SEGMENTATION; MACHINE;
D O I
10.3390/agriculture14081378
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Vegetables are an essential part of people's daily diet, and weeds can cause serious losses in vegetable yield and quality. Intelligent weeding technology for vegetables will be one of the mainstream technologies in modern agricultural development. This article reviews the current research status of intelligent weeding technology for vegetables, including vegetable and weed detection technology, weeding actuators, and weeding robots. Firstly, the vegetable and weed detection technology was introduced in detail from three aspects: global weed detection, crop-rows detection, and vegetable/weed precise recognition technology. The research results of some researchers were summarised, and the vegetable/weed precise recognition technology, including machine learning and proximal sensor technology, was introduced. Secondly, the weeding actuators and robots were introduced, including intelligent chemical weeding, mechanical weeding, physical weeding, and integrated weed management methods. Some weeding actuators and robots developed by researchers and agricultural companies were showcased. Finally, the challenges and future development directions of intelligent weeding technology were discussed and analysed. Intelligent weeding technology for vegetables is still mainly limited by natural conditions and a lack of technology. In the future, it will be possible to develop in the direction of multi-algorithm and multi-sensor fusion technologies. It is necessary to improve the applicability of intelligent weeding equipment for various environments, crops, and weeds. This article can provide a reference for future research in the field of intelligent weeding for vegetables.
引用
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页数:41
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