AIMC Topic: Cucumis sativus
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A deep learning-based approach for the detection of cucumber diseases.
PloS one
Apr 11, 2025
Cucumbers play a significant role as a greenhouse crop globally. In numerous countries, they are fundamental to dietary practices, contributing significantly to the nutritional patterns of various populations. Due to unfavorable environmental conditi...
Machine learning-based hyperspectral wavelength selection and classification of spider mite-infested cucumber leaves.
Experimental & applied acarology
Aug 23, 2024
Two-spotted spider mite (Tetranychus urticae) is an important greenhouse pest. In cucumbers, heavy infestations lead to the complete loss of leaf assimilation surface, resulting in plant death. Symptoms caused by spider mite feeding alter the light r...
Deep learning-based association analysis of root image data and cucumber yield.
The Plant journal : for cell and molecular biology
Jan 9, 2024
The root system is important for the absorption of water and nutrients by plants. Cultivating and selecting a root system architecture (RSA) with good adaptability and ultrahigh productivity have become the primary goals of agricultural improvement. ...
A photosynthetic rate prediction model using improved RBF neural network.
Scientific reports
Jun 10, 2022
A photosynthetic prediction rate model is a theoretical basis for light environmental regulation, and the existing photosynthetic rate prediction models are limited by low modeling speed and prediction accuracy. Therefore, this paper analyses effects...
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