Abstract

It is of great significance to obtain soil texture information quickly for the realization of farmland management. Soil with good particle condition can well regulate the needs of plants for water, nutrients, air, and temperature during crop growth, thereby promoting high crop yields. The existing methods of measuring soil texture cannot meet the requirements of time and spatial resolution. For this reason, a vehicle-mounted soil texture detector was designed and developed based on machine vision and soil electrical conductivity devices. The detector does not require pretreatment such as air-drying and screening of the soil, and completely uses the original information of the farmland. The whole process can obtain the soil texture information in real time, omitting the complicated chemical process, and saving manpower and material resources. The vehicle-mounted detector is divided into a mechanical part, a control part, and a display part. The mechanical part provides measurement support for the acquisition of soil texture information; the control part collects and processes signals and images; the measurement results can be intuitively observed and recorded on the display, and can be operated through the mobile phone. The vehicle-mounted detector obtains soil conductivity through 4 disc electrodes, while the vehicle-mounted industrial camera captures the soil surface image, and extracts texture parameters through image processing, takes EC and texture parameters as input, and the embedded SVM model of the instrument was used to perform soil texture prediction. In order to verify the measurement accuracy of the detector, farmland verification experiments were carried out on farmland loam in Tongzhou District and Haidian District of Beijing. The R2 of the correlation between the measured value of soil EC and the actual value was 0.75, and the accuracy of soil texture prediction was 84.86%. It shows that the developed vehicle-mounted soil texture detector can meet the requirements for rapid acquisition of farmland texture information.

Highlights

  • Soil texture is one of the important physical properties of soil

  • The results show that the vehicle-mounted soil texture detector can use the original farmland information to predict the soil texture with high accuracy, and the combination of soil electrical conductivity (EC) and soil surface image is the optimal input

  • Chen [40] used gray level co-occurrence matrix method (GLCM) texture extracted from simulated tumor images to distinguish true progression and false progression of glioblastoma treated with radiotherapy and temozolomide, with an accuracy of 86.4%, and found that correlation was related to abnormal inhomogeneity, and texture characteristics of energy and entropy were related to local homogeneity, which was consistent with the experimental results of this study

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Summary

Introduction

Soil texture is one of the important physical properties of soil. It represents the percentage combination of soil particles of different diameters in soil weight. Soil texture has an important impact on soil fertility, quality, and sustainable use of soil. Soil with good texture can well regulate the needs of plants for water, nutrients, air, and temperature during crop growth, thereby promoting high crop yields [1]. The soil texture is mainly divided into three categories: Sandy soil, loam, amd clay. Loam has the advantages of sand and clay which is an ideal soil texture type, suitable for planting crops, especially peanuts, tobacco leaves, and vegetables

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