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Precision Farming With Automated Weed Detection Using Machine Learning
Abstract
An artificial intelligence-based weed detection system is a computerized system designed to automatically identify and classify different types of weeds in agricultural fields. The system utilizes advanced computer vision techniques and machine learning algorithms to accurately detect and differentiate weeds from crops or other elements in the field. The weed detection system typically consists of hardware components such as cameras or drones that capture high-resolution images or videos of the agricultural area. These images are then analyzed by the artificial intelligence algorithms which have been trained on large datasets of weed images to recognize and distinguish various weed species. This paper explores the application of AI in weed detection and offers a promising solution for automating weed detection in crops. Furthermore, the work addresses the potential benefits of using automated weed detection systems such as reduced labor costs decreased herbicide usage, and improved environmental sustainability.
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