Home ›
Entities
› academia
› DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model
DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model
Research article (2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023) · cited 14× · AI/ML
DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model
Summary
DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model is a scholarly article[1].
Key Facts
DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepleaf-revolutionizing-rice-disease-detection-and-classification-using-convolutional-neural-networks-and-random-forest
MLA“DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepleaf-revolutionizing-rice-disease-detection-and-classification-using-convolutional-neural-networks-and-random-forest.
BibTeX@misc{4ortxyz_deepleaf-revolutionizing-rice-disease-detection-and-classification-using-convolutional-neural-networks-and-random-forest_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model}}, year = {2026}, url = {https://4ort.xyz/entity/deepleaf-revolutionizing-rice-disease-detection-and-classification-using-convolutional-neural-networks-and-random-forest}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model — https://4ort.xyz/entity/deepleaf-revolutionizing-rice-disease-detection-and-classification-using-convolutional-neural-networks-and-random-forest (retrieved 2026-05-24)
