土壤保水带边界区土壤水分转移的实例研究

IF 7.7 Q1 AGRICULTURE, MULTIDISCIPLINARY
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引用次数: 0

摘要

植物生长监测技术对农业工程具有重大意义。根系与土壤水之间的相互作用是植物对环境变化的一个重要反应。本文旨在开发一种新方法,利用根系与土壤水的相互作用来估计植物的生物反应。它提供了一个关于土壤水分保持区(SWRZ)边界区域水分转移的案例研究。我们利用节水滴灌技术,在均质干燥土壤中的栽培番茄根系周围建立了一个土壤水分保持区。灌溉的目的是只向根部区域提供水分,以满足植物生长的最低需求。高分辨率土壤水分传感器用于检测 SWRZ 边界区域的水分传输。我们利用滤波和快速傅立叶变换 (FFT) 对获取的振动频谱进行频率分析,以研究每个传感器位置的频率含量。在 SWRZ 的边界区域确定了水分振动的不同频率,这表明植物吸水导致水分向根部转移。提出了一个机械振动模型来描述这一现象。在节水栽培方法中,对根区进行精确灌溉可通过水力作用形成结构良好的球形根系。这使得基于机械振动模型的水分传递分析成为可能。结果表明,通过研究根系与土壤水分的相互作用,可以用一种新的方法来估计植物的生物反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soil moisture transfer at the boundary area of soil water retention zone: A case study

Plant growth monitoring techniques are of great interest to agricultural engineering. The interaction between root and soil water is one important plant response to environmental variations. This paper aims to develop a new method to estimate plant biological response using root-soil water interaction. It provides a case study on moisture transfer at the boundary area of a soil water retention zone (SWRZ). We produced a SWRZ around growing roots of a cultivated tomato plant in homogenous dried soil using water-saving drip irrigation. The irrigation was designed to supply moisture only in the root zone to meet the minimum need of plant growth. High-resolution soil moisture sensors were used to detect moisture transfer at the boundary area of the SWRZ. We applied frequency analysis to the acquired vibration spectrum using filtering and Fast Fourier Transform (FFT) in order to investigate the frequency content at each sensor location. Distinct frequencies of moisture vibration were identified at the boundary area of the SWRZ which indicated water transfer to the roots caused by plant water absorption. A mechanical vibration model was proposed to describe this phenomenon. The pinpoint irrigation to the root zone in the water-saving cultivation method enabled a well-structured spherical root system to form via hydrotropism. This enabled a simple method to analyze moisture transfer based on a mechanical vibration model. The results suggest a new method to estimate plant biological response by studying root-soil water interaction.

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来源期刊
Information Processing in Agriculture
Information Processing in Agriculture Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
21.10
自引率
0.00%
发文量
80
期刊介绍: Information Processing in Agriculture (IPA) was established in 2013 and it encourages the development towards a science and technology of information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from the information processing technologies in the agriculture; • Illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture; • Provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing worldwide; • Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professionals and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture; • Create and promote expert groups for development of agro-meteorological databases, crop and livestock modelling and applications for development of crop performance based decision support system. Topics of interest include, but are not limited to: • Smart Sensor and Wireless Sensor Network • Remote Sensing • Simulation, Optimization, Modeling and Automatic Control • Decision Support Systems, Intelligent Systems and Artificial Intelligence • Computer Vision and Image Processing • Inspection and Traceability for Food Quality • Precision Agriculture and Intelligent Instrument • The Internet of Things and Cloud Computing • Big Data and Data Mining
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