Tomato Stem and Leaf Segmentation and Phenotype Parameter Extraction Based on Improved Red Billed Blue Magpie Optimization Algorithm

In response to the structural changes of tomato seedlings, traditional Spoons image techniques are difficult to accurately quantify key morphological parameters, such as leaf area, internode length, and mutual occlusion between organs.Therefore, this paper proposes a tomato point cloud stem and leaf segmentation framework based on Elite Strategy-ba

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Image database of Japanese food samples with nutrition information

Background Visual processing of food plays an important role in controlling eating behaviors.Several studies have developed image databases of food to investigate visual food processing.However, few databases include non-Western foods and objective nutrition information on the foods.Methods We developed an image database of Japanese food samples th

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Soybean Yield Preharvest Prediction Based on Bean Pods and Leaves Image Recognition Using Deep Learning Neural Network Combined With GRNN

Soybean yield is a highly complex trait determined by multiple factors such as genotype, environment, and their interactions.The earlier the prediction during the growing season the better.Accurate soybean yield prediction is important for germplasm innovation and planting environment factor improvement.But until now, soybean yield has been determi

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