Improving the Estimation of Apple Leaf Photosynthetic Pigment Content Using Fractional Derivatives and Machine Learning

Research article (Agronomy, 2022) · cited 17× · AI/ML
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Improving the Estimation of Apple Leaf Photosynthetic Pigment Content Using Fractional Derivatives and Machine Learning

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Improving the Estimation of Apple Leaf Photosynthetic Pigment Content Using Fractional Derivatives and Machine Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving the Estimation of Apple Leaf Photosynthetic Pigment Content Using Fractional Derivatives and Machine Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-the-estimation-of-apple-leaf-photosynthetic-pigment-content-using-fractional-derivatives-and-machine-learning
MLA “Improving the Estimation of Apple Leaf Photosynthetic Pigment Content Using Fractional Derivatives and Machine Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-the-estimation-of-apple-leaf-photosynthetic-pigment-content-using-fractional-derivatives-and-machine-learning.
BibTeX @misc{4ortxyz_improving-the-estimation-of-apple-leaf-photosynthetic-pigment-content-using-fractional-derivatives-and-machine-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving the Estimation of Apple Leaf Photosynthetic Pigment Content Using Fractional Derivatives and Machine Learning}}, year = {2026}, url = {https://4ort.xyz/entity/improving-the-estimation-of-apple-leaf-photosynthetic-pigment-content-using-fractional-derivatives-and-machine-learning}, note = {Accessed: 2026-05-24}}
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