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Developing a Comprehensive Hybrid Model Utilizing Convolutional Neural Networks and Random Forest for the Advanced Classification of Tomato Rot Disease Severity Stages
Research article (2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS), 2024) · cited 13× · AI/ML
Developing a Comprehensive Hybrid Model Utilizing Convolutional Neural Networks and Random Forest for the Advanced Classification of Tomato Rot Disease Severity Stages is a scholarly article[1].
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Developing a Comprehensive Hybrid Model Utilizing Convolutional Neural Networks and Random Forest for the Advanced Classification of Tomato Rot Disease Severity Stages's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Developing a Comprehensive Hybrid Model Utilizing Convolutional Neural Networks and Random Forest for the Advanced Classification of Tomato Rot Disease Severity Stages. Retrieved May 24, 2026, from https://4ort.xyz/entity/developing-a-comprehensive-hybrid-model-utilizing-convolutional-neural-networks-and-random-forest-for-the-advanced-class
MLA“Developing a Comprehensive Hybrid Model Utilizing Convolutional Neural Networks and Random Forest for the Advanced Classification of Tomato Rot Disease Severity Stages.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/developing-a-comprehensive-hybrid-model-utilizing-convolutional-neural-networks-and-random-forest-for-the-advanced-class.
BibTeX@misc{4ortxyz_developing-a-comprehensive-hybrid-model-utilizing-convolutional-neural-networks-and-random-forest-for-the-advanced-class_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Developing a Comprehensive Hybrid Model Utilizing Convolutional Neural Networks and Random Forest for the Advanced Classification of Tomato Rot Disease Severity Stages}}, year = {2026}, url = {https://4ort.xyz/entity/developing-a-comprehensive-hybrid-model-utilizing-convolutional-neural-networks-and-random-forest-for-the-advanced-class}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Developing a Comprehensive Hybrid Model Utilizing Convolutional Neural Networks and Random Forest for the Advanced Classification of Tomato Rot Disease Severity Stages — https://4ort.xyz/entity/developing-a-comprehensive-hybrid-model-utilizing-convolutional-neural-networks-and-random-forest-for-the-advanced-class (retrieved 2026-05-24)
