Mar 1, 2024 · The CoffeeNet model acquires a classification accuracy number of 98.54%, along with an mAP of 0.97 that is presenting the usefulness of our ...
The CoffeeNet model acquires a classification accuracy number of 98.54%, along with an mAP of 0.97 that is presenting the usefulness of our technique in ...
... The study introduces CoffeeNet, a novel deep-learning model tailored for the early detection and categorization of various coffee plant leaf infections, ...
CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition · journal article · research article · Published by Elsevier in Expert Systems ...
CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition ... Authors: Marriam Nawaz; Tahira Nazir; Ali Javed; Sherif Tawfik Amin; Fathe ...
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This paper proposes a deep learning model, coupled with transfer learning, for CLD detection that aims to provide high-accuracy forecasting of diseases that ...
Sep 28, 2024 · CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition. Article. Sep 2023; EXPERT SYST APPL. Marriam ...
Oct 21, 2024 · Nawaz et al. introduced CoffeeNet, a deep learning model designed for recognizing coffee plant leaf diseases. CoffeeNet used a spatial-channel ...
CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition ... plant-disease identification using advanced deep learning approaches ...
Nawaz, CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition, Exp. Syst. Appl., № 237 https://doi.org/10.1016/j.eswa.2023.121481 ...