Vol. 12, Issue 3 (2024)
Intelligent intra-row weeding systems using deep learning technology: A review
Author(s): Megha Ugargol and R Mahesh
Abstract: Huge quantity of herbicide spraying leads to fertile soil deterioration and due to the scope of organic farming concepts, mechanical weeding equipments have emerged as a promising method to eliminate weeds. Inter row weeding is successfully done by cultivators or harrows as they are just dragged behind the vehicles but for intra row weeding, there necessitates intelligent systems. Intelligent intra row weeding system is composed of vision system, control system and intra row weeding device. Identification of crop and weed in field becomes a critical part. Till now, limited varieties of crop and weed are detected by traditional methods due to their distinctive morphological feature but as the complexity increases in external environment and crops and weeds whose morphological feature appear similar creates problem in detection. To overcome such difficulties of detection and identification, intelligent technologies like deep learning concepts are introduced into it. This new technology promises to improve the weeding efficiency in fields. This paper reviews about intelligent intra row weeding systems using deep learning technology.
Pages: 01-12 | 123 Views 80 Downloads
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How to cite this article:
Megha Ugargol, R Mahesh. Intelligent intra-row weeding systems using deep learning technology: A review. Int J Chem Stud 2024;12(3):01-12.
