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Flowchart of the experimental design for imaging, segmentation, fruit quality (oil and total phenols) determinations, and modeling through back propagation neural networks (BPNNs).
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AI network shows potential for predicting crop yield - MSNArtificial intelligence (AI) is the buzz phrase of 2024. Though far from that cultural spotlight, scientists from agricultural, biological and technological backgrounds are also turning to AI as ...
The researchers compared four forms of the neural network’s output to some of the more common yield prediction tools, including linear regression and a random forest algorithm. They found that the ...
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