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Machine learning for leaf disease classification: data, techniques and applications.

, , , and . Artif. Intell. Rev., 56 (Supplement 3): 3571-3616 (December 2023)

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Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network., , , and . CoRR, (2021)Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning., , , , , and . CoRR, (2019)Sentimental Analysis for AIML-Based E-Health Conversational Agents., , and . ICONIP (2), volume 11302 of Lecture Notes in Computer Science, page 41-51. Springer, (2018)Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches., , , and . CoRR, (2023)Wine Characterisation with Spectral Information and Predictive Artificial Intelligence., , , , and . ICONIP (7), volume 1794 of Communications in Computer and Information Science, page 247-259. Springer, (2022)A Comprehensive Review on Deep Supervision: Theories and Applications., , , , , , , , , and . CoRR, (2022)Joint Deep Cross-Domain Transfer Learning for Emotion Recognition., , , , , , and . CoRR, (2020)ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task., , , and . RANLP, page 1285-1294. INCOMA Ltd., (2019)Neuro-Symbolic Probabilistic Argumentation Machines., , and . KR, page 871-881. (2020)Multi-output Deep-Supervised Classifier Chains for Plant Pathology., and . IJCNN, page 1-8. IEEE, (2023)