Onion Weed Detection and Alert System using Deep Learning
Year: 2025
Type: article
Abstract: To put it simply, agriculture is fundamental to human existence on our planet. Through farming, it ispossible to produce an abundance of food that can sustainably nourish a big population. The agriculturalsector and the export of other consumer goods form the backbone of India's economy. Because of itscentral role in facilitating productive development and supplying sustenance to both the nation and itsdependent nations, agriculture is an integral aspect of the Indian subcontinent. Identifying weeds on a farmis typically a labor-intensive, time-consuming process that might be nearly difficult for a single farmer todo on a large-scale operation. There are other, more important things that could be done with the time thatthis takes up. Weed detection and identification can be enhanced with the use of new technology. So, toaddress this issue, this method suggests a practical and efficient system for weed classification that makesuse of Convolutional Neural Networks and Decision Making. Crucial to the methodology's performancerealization has been the approach's successful evaluation through experimentation.
Author: Mr.A A Shaikh, Vidhate Mayur, Mahanor Yash, Deshmukh Aditya, Bendre Atharv
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W6930927423
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