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An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture
Research article (International Journal of Computational Intelligence Systems, 2022) · cited 46× · AI/ML
An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture
Summary
An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture is a scholarly article[1].
Key Facts
An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture's instance of is recorded as scholarly article[2].
References
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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). An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-plant-disease-recognition-system-using-hybrid-convolutional-neural-networks-cnns-and-conditional-random-fie
MLA“An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-plant-disease-recognition-system-using-hybrid-convolutional-neural-networks-cnns-and-conditional-random-fie.
BibTeX@misc{4ortxyz_an-efficient-plant-disease-recognition-system-using-hybrid-convolutional-neural-networks-cnns-and-conditional-random-fie_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-plant-disease-recognition-system-using-hybrid-convolutional-neural-networks-cnns-and-conditional-random-fie}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture — https://4ort.xyz/entity/an-efficient-plant-disease-recognition-system-using-hybrid-convolutional-neural-networks-cnns-and-conditional-random-fie (retrieved 2026-05-24)
