Application of Internet of Things to Agriculture—The LQ-FieldPheno Platform:A High-Throughput Platform for Obtaining Crop Phenotypes in Field
作者机构：Bejing Key Laboratory of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing 100097China Beijing Research Center for Information Technology in Agriculture.Beijing Academy of Agriculture and Forestry SciencesBejing 100097China China NationalEngineering Research Center for Information Technology in Agriculture(NERCITA)Beijing 100097China
出 版 物：《Research》 (研究（英文）)
年 卷 期：2023年第6卷第3期
页 面：17-33页
核心收录：
学科分类：0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0901[农学-作物学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：the Beijing Academy of Agricultural and Forestry Sciences Phenotypic Collaborative Innovation Centre projects(grant no.KJCX201917) China's key R&D projects(grant no.2017YFD0201501) China National Natural Science Foundation Project(grant no.31871519).
摘 要：The lack of efficient crop phenotypic measurement methods has become a bottleneck in the field of breeding and precision cultivation.However,high-throughput and accurate phenotypic measurement could accelerate the breeding and improve the existing cultivation management technology.In view of this,this paper introduces a high-throughput crop phenotype measurement platform named the LQ-FieldPheno,which was developed by China National Agricultural Information Engineering Technology Research Centre.The proposed platform represents a mobile phenotypic high-throughput automatic acquisition system based on a field track platform,which introduces the Internet of Things(IoT)into agricultural breeding.The proposed platform uses the crop phenotype multisensor central imaging unit as a core and integrates different types of equipment,including an automatic control system,upward field track,intelligent navigation vehicle,and environmental sensors.Furthermore,it combines an RGB camera,a 6-band multispectral camera,a thermal infrared camera,a 3-dimensional laser radar,and a deep camera.Special software is developed to control motions and sensors and to design run lines.Using wireless sensor networks and mobile communication wireless networks of IoT,the proposed system can obtain phenotypic information about plants in their growth period with a high-throughput,automatic,and high time sequence.Moreover,the LQ-FieldPheno has the characteristics of multiple data acquisition,vital timeliness,remarkable expansibility,high-cost performance,and flexible customization.The LQ-FieldPheno has been operated in the 2020 maize growing season,and the collected point cloud data are used to estimate the maize plant height.Compared with the traditional crop phenotypic measurement technology,the LQ-FieldPheno has the advantage of continuously and synchronously obtaining multisource phenotypic data at different growth stages and extracting different plant parameters.The proposed platform could contribute to the research of crop phenotype,remote sensing,agronomy,and related disciplines.
维普期刊数据库