Development of a Mechatronic System for Plant Recognition and Intra-row Weeding With Machine Vision

Abstract

In this paper, an electro-mechanical integrated weed management system was designed, constructed, and tested. This laboratory-scale solution integrated elements of machine vision, controls, and mechanical actuation to selectively remove weeds from within a crop row. The device was validated in a controlled environment using corn crops. Various crop conditions were considered to ensure the robustness of the design. Though some design aspects should be reworked for improved results, the device can effectively be used to facilitate small-scale research for automated weeding strategies.

Advancements in precision control in intra-row weeding: A comprehensive review

“…Berkmortel et al (2021) [11] Kernel function Robustness of the computer vision against illumination variability Maize Bayesian framework Tellaeche et al (2007) [111] Textures segmentation Segmentation from processed contain textures of three main Types: green plants, soil and sky…”

“…This integration has significantly improved sensor capabilities in weeding operations, contributing to enhanced reliability and the generation of more extensive datasets (Kumar et al, 2019) [139] . Mechatronic systems have been developed, incorporating machine vision, controls, and mechanical actuation to selectively remove weeds within a crop row (Berkmortel et al, 2021) [11] . Thermal weeding techniques such as soil steaming and flame weeding are also discussed as intra-row weed management methods (Kumar et al, 2022) [138] .…”