{"title":"Feasibility and reliability of agricultural crop height measurement using the laser sensor array","authors":"Pejman Alighaleh , Tarahom Mesri Gundoshmian , Saeed Alighaleh , Abbas Rohani","doi":"10.1016/j.inpa.2023.02.005","DOIUrl":null,"url":null,"abstract":"<div><p>Crop height measurement is widely used to analyze and estimate the overall crop condition and the amount of biomass production. Not only is manual measurement on a large scale time-consuming but also it is not practical. Besides, advanced equipment is available but they require technical skills and are not reasonable for smallholders. This article investigates the feasibility of a simple and low-cost measurement system that can monitor crops height of paddy rice and wheat using laser technology. After designing and fabricating, this system was tested and evaluated in both laboratory and farm sections. In the laboratory, paddy rice height was measured, and in the field section, the height detection system measured wheat height. The results showed that the coefficient of determination (R<sup>2</sup>) between manual measurement and height detection system measurement for paddy rice was 0.96 and for wheat was 0.85. Besides, there was no significant difference between the two datasets at the level of 5%. Hence, this system can be a useful and accurate tool to monitor crops height in different growing steps.</p></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"11 2","pages":"Pages 228-236"},"PeriodicalIF":7.7000,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221431732300015X/pdfft?md5=029c3e1c5c34913bdee164cd5242ec69&pid=1-s2.0-S221431732300015X-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Processing in Agriculture","FirstCategoryId":"1091","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221431732300015X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Crop height measurement is widely used to analyze and estimate the overall crop condition and the amount of biomass production. Not only is manual measurement on a large scale time-consuming but also it is not practical. Besides, advanced equipment is available but they require technical skills and are not reasonable for smallholders. This article investigates the feasibility of a simple and low-cost measurement system that can monitor crops height of paddy rice and wheat using laser technology. After designing and fabricating, this system was tested and evaluated in both laboratory and farm sections. In the laboratory, paddy rice height was measured, and in the field section, the height detection system measured wheat height. The results showed that the coefficient of determination (R2) between manual measurement and height detection system measurement for paddy rice was 0.96 and for wheat was 0.85. Besides, there was no significant difference between the two datasets at the level of 5%. Hence, this system can be a useful and accurate tool to monitor crops height in different growing steps.
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