Rapid and Accurate Prediction of Soil Texture Using an Image-Based Deep Learning Autoencoder Convolutional Neural Network Random Forest (DLAC-CNN-RF) Algorithm

Soil determines the degree of water infiltration, crop nutrient absorption, and germination, which in turn affects crop yield and quality. For the efficient planting of agricultural products, the accurate identification of soil texture is necessary. This study proposed a flexible smartphone-based ma...

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Bibliographic Details

Published in:	Agronomy
Main Authors:	Zhuan Zhao, Wenkang Feng, Jinrui Xiao, Xiaochu Liu, Shusheng Pan, Zhongwei Liang
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Subjects:	soil texture identification DLAC-CNN-RF model accuracy
Online Access:	https://www.mdpi.com/2073-4395/12/12/3063