Abstract

Tillage depth measuring is essential in modernization of agricultural production, including tillage depth, seed germination, plant growth and soil conservation. At present, there are no reliable measuring method or equipment for on-line tillage depth data acquisition. To solve this problem, equipment for real-time measuring tillage depth was designed based on ultrasonic sensing technology. This system comprises mainly mechanical constructions, hardware structure, software, specific measurement process and data processing technology. To improve the measuring accuracy, Kalman filter method is used to reduce the influence of uneven surface, weed, and stubble in field. This device was installed on subsoiler, and a field test was conducted. The test results show that: The accuracy of the ultrasonic measuring depth is comparable with the manual measuring method in the field condition of ploughed field, bare field and stubble field.

Highlights

  • IntroductionFarming information acquisition technology is fundamental item for the development of precision agricultural technology

  • Tillage depth measuring is a basic item of soil cultivation, sowing and planting

  • Common methods for real time tillage depth measuring method can be divided into two kinds, direct measurement and indirect measurement [6-9]

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Summary

Introduction

Farming information acquisition technology is fundamental item for the development of precision agricultural technology. Real time measuring system of tillage depth is a prerequisite for the development of precision agriculture production [1-3]. Common methods for real time tillage depth measuring method can be divided into two kinds, direct measurement and indirect measurement [6-9]. The position change in valve between the replicated part and the mounted implement can be measured, which is equal to the tillage depth. Another is indirect measurement method, which integrated sensor, such as inclinometer, is mounted on surface of lower lifting arm. We mounted an ultrasonic sensor on a framework to measure distance to the ground. To improve the ranging accuracy, a Kalman filtering method is used to decrease the influenced by factors like uneven farmland, weeds and crop residue

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