Evaluating Cross-Applicability of Weed Detection Models Across Different Crops in Similar Production Environments
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DOI: 10.3389/fpls.2022.837726
Abstract: Convolutional neural networks (CNNs) have revolutionized the weed detection process with tremendous improvements in precision and accuracy. However, training these models is time-consuming and computationally demanding; thus, training weed detection models for every crop-weed environment… read more here.
Keywords: crop; applicability weed; weed detection; detection ... See more keywords