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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
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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

Summary

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].

Key Facts

  • 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].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.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}}
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