Deep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples

Original title

Deep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples

Russian translation

Глубокое обучение в точном земледелии: сегментация искусственно сгенерированных VNIR-изображений для раннего прогноза порчи яблок

Translation status: source

Evidence statuses

relation_layer

D — context

relation_confidence

2 — strong

relevance_status

Included

body_status

Local full text verified

doi_status

Confirmed

access_status

Metadata only

expert_review

Included

verification_status

Body verified

Details

year

2023

type

Journal article

venue

Entropy

DOI

10.3390/e25070987

People

• Nikita Stasenko
• Islomjon Shukhratov
• Maxim Savinov
• Dmitrii Shadrin
• Andrey Somov

Topics

• Calibration and validation
• Experimental basis
• Forecasting and decision support
• GIS and remote sensing

Sources

• MDPI complete open article: VNIR apple postharvest decay prediction, 2023

External links

• https://www.mdpi.com/1099-4300/25/7/987