Home ›
Entities
› academia
› Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives
Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives
Research article (Artificial Intelligence in Agriculture, 2023) · cited 39× · AI/ML
Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives
Summary
Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives is a scholarly article[1].
Key Facts
Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives'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). Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-methods-for-biotic-and-abiotic-stresses-detection-and-classification-in-fruits-and-vegetables-state-of-the
MLA“Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-methods-for-biotic-and-abiotic-stresses-detection-and-classification-in-fruits-and-vegetables-state-of-the.
BibTeX@misc{4ortxyz_deep-learning-methods-for-biotic-and-abiotic-stresses-detection-and-classification-in-fruits-and-vegetables-state-of-the_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-methods-for-biotic-and-abiotic-stresses-detection-and-classification-in-fruits-and-vegetables-state-of-the}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives — https://4ort.xyz/entity/deep-learning-methods-for-biotic-and-abiotic-stresses-detection-and-classification-in-fruits-and-vegetables-state-of-the (retrieved 2026-05-24)