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Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies
Research article (PLoS ONE, 2024) · cited 15× · AI/ML
Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies
Summary
Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies is a scholarly article[1].
Key Facts
Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-driven-assessment-of-biochemical-qualities-in-tomato-and-mandarin-using-rgb-and-hyperspectral-sensors-a
MLA“Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-driven-assessment-of-biochemical-qualities-in-tomato-and-mandarin-using-rgb-and-hyperspectral-sensors-a.
BibTeX@misc{4ortxyz_machine-learning-driven-assessment-of-biochemical-qualities-in-tomato-and-mandarin-using-rgb-and-hyperspectral-sensors-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-driven-assessment-of-biochemical-qualities-in-tomato-and-mandarin-using-rgb-and-hyperspectral-sensors-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies — https://4ort.xyz/entity/machine-learning-driven-assessment-of-biochemical-qualities-in-tomato-and-mandarin-using-rgb-and-hyperspectral-sensors-a (retrieved 2026-05-24)
