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Prunus domestica

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Disease Detection in Plum Using Convolutional Neural Network under True Field Conditions.

Sensors (Basel, Switzerland)
The agriculture sector faces crop losses every year due to diseases around the globe, which adversely affect food productivity and quality. Detecting and identifying plant diseases at an early stage is still a challenge for farmers, particularly in d...

Application of image processing and soft computing strategies for non-destructive estimation of plum leaf area.

PloS one
Plant leaf area (LA) is a key metric in plant monitoring programs. Machine learning methods were used in this study to estimate the LA of four plum genotypes, including three greengage genotypes (Prunus domestica [subsp. italica var. claudiana.]) and...

Machine learning techniques for non-destructive estimation of plum fruit weight.

Scientific reports
Plum fruit fresh weight (FW) estimation is crucial for various agricultural practices, including yield prediction, quality control, and market pricing. Traditional methods for estimating fruit weight are often destructive, time-consuming, and labor-i...