Convolutional Neural Network-Based Soil Water Content and Density Prediction Model for Agricultural Land Using Soil Surface Images

Convolutional Neural Network-Based Soil Water Content and Density Prediction Model for Agricultural Land Using Soil Surface Images

For appropriate managing fields and crops, it is essential to understand soil properties. There are drawbacks to the conventional methods currently used for collecting a large amount of data from agricultural lands. Convolutional neural network is a deep learning algorithm that specializes in image...

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Bibliographic Details
Main Authors: Donggeun Kim, Taejin Kim, Jihun Jeon, Younghwan Son
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
deep learning
convolutional neural network
soil properties
water content
dry density
Online Access:https://www.mdpi.com/2076-3417/13/5/2936

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