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Development of a Vehicle-Mounted Crop Detection System

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Journal of Integrative agriculture 2014年第6期13卷 1284-1292页

作者： ZHONG Zhen-jiang SUN Hong LI Min-zan ZHANG Feng LI Xiu-hua Key laboratory of Modern precision agriculture System Integration Research Ministry of Education/China Agricultural University

In order to monitor plant chlorophyll content in real-time, a new vehicle-mounted detection system was developed to measure crop canopy spectral characteristics. It was designed to work as a wireless sensor network with one control unit and one measuring unit. The control unit included a personal digital assistant （PDA） device with a ZigBee wireless network coordinator. As the coordinator of the whole wireless network, the control unit was used to receive, display and store all the data sent from sensor nodes. The measuring unit consisted of several optical sensor nodes. All the sensor nodes were mounted on an on-board mechanical structure so that the measuring unit could collect the canopy spectral data while moving. Each sensor node contained four optical channels to measure the light radiation at the wavebands of 550, 650, 766, and 850 nm. The calibration tests veriifed a good performance in terms of the wireless transmission ability and the sensor measurement precision. Both stationary and moving ifeld experiments were also conducted in a winter wheat experimental ifeld. There was a high correlation between chlorophyll content and vegetation index, and several estimation models of the chlorophyll content were established. The highest R2 of the estimation models was 0.718. The results showed that the vehicle-mounted crop detection system has potential for ifeld application.

关键词： optical sensor vegetation index chlorophyll content ZigBee wireless sensor network (WSN)

Management of CO_(2) in a tomato greenhouse using WSN and BPNN techniques

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International Journal of Agricultural and Biological Engineering 2015年第4期8卷 43-51页

作者： Li Ting Zhang Man Ji Yuhan Sha Sha Jiang Yiqiong Li Minzan Key laboratory of Modern precision agriculture System Integration Research Ministry of EducationCollege of Information and Electrical EngineeringChina Agriculture UniversityBeijing 100083China

Rational management of CO_(2) can improve the net photosynthetic rate of plants,thereby improving crop yield and *** order to precisely manage CO_(2) in a greenhouse,a wireless sensor network(WSN)system was developed to monitor greenhouse environmental parameters in real time,including air temperature,humidity,CO_(2) concentration,soil temperature,soil moisture,and light *** WSN system includes several sensor nodes,a gateway node,and remote management *** sensor nodes can collect 0-5 V and 4-20 mA analog signals and universal asynchronous receiver/transmitter(UART)*** gateway node can process and transmit the data and commands between sensor nodes and remote management *** remote management software provides a friendly interface between user and *** can inquire about real-time data,and set the parameters of the *** photosynthetic rate of tomato plants were studied in the flowering stage.A LI-6400XT portable photosynthesis analyzer was used to measure the photosynthetic rates of the tomato plants,and the environmental parameters of leaves were controlled according to the presetting *** photosynthetic rate prediction model of a single leaf was established based on a back propagation neural network(BPNN).The environmental parameters were used as input neurons after being processed by principal component analysis(PCA),and the photosynthetic rate was taken as the output *** performance of the prediction model was evaluated,and the results showed that the correlation coefficient between the simulated and observed data sets was 0.9899,and root-mean-square error(RMSE)was ***,when different CO_(2) concentrations were selected as the input to predict the photosynthetic rate,the simulated and observed data showed the same *** to the above analysis,it was concluded that the model can be used for quantitative regulation of CO_(2) for tomato plants in greenhouses.

关键词： WSN ZigBee greenhouse information photosynthetic rate CO_(2)fertilization

Development and application of crop monitoring system for detecting chlorophyll content of tomato seedlings

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International Journal of Agricultural and Biological Engineering 2014年第2期7卷 138-145页

作者： Wu Qian Sun Hong Li Minzan Yang Wei Key laboratory of Modern precision agriculture System Integration Research Ministry of EducationChina Agricultural UniversityBeijing 100083China

A crop monitoring system was developed to nondestructively monitor the crop growth status in the *** a two channel multispectral camera with one lens,controlling platform,wireless remote control module and control software,the system was able to synchronously acquire visible image(red(R),green(G),blue(B):400-700 nm)and near-infrared(NIR)image(760-1000 nm).The tomato seedlings multi-spectral images collection experiment in the greenhouse was conducted by using the developed system from the seeding stage to fruiting *** than 240 couples of tomato seedlings pictures were acquired with the Soil and Plant Analyzer Development(SPAD)value measured at the same *** obtained images were available to process,and some vegetation indexes,such as normalized difference vegetation index(NDVI),ratio vegetation index(RVI)and normalized difference green index(NDGI),were *** the SPAD value and the correlation coefficient between SPAD and other parameters in different fertilization treatments,the multiple linear regressions(MLR)model for estimating tomato seedlings chlorophyll content was built based on the average gray value in red,green,blue and NIR,vegetable indexes,NDVI,RVI and NDGI in the 33.3%(N1),66.6%(N2),and 100%(N3)nutrient levels during seeding stage and blossom and fruit *** R2 of the model is *** results revealed that the developed crop monitoring system provided a feasible tool to detect the growth status of *** filed experiments and multi-spectral image analysis will be investigated to evaluate the crop growth status in the near future.

关键词： multi-spectral image crop growth status image acquisition 2-CCD sensor precision agriculture

Intelligent data acquisition and cloud services for apple orchard

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International Journal of Agricultural and Biological Engineering 2014年第2期7卷 146-153,I0004页

作者： Guo Xiang Zheng Lihua Li Minzan Zhang Yao Key laboratory of Modern precision agriculture System Integration Research Ministry of Education China Agricultural UniversityBeijing 100083China

An intelligent data acquisition and service system for apple orchard was developed for acquiring apple tree growth information in time and managing orchard production *** data of fruit tree growth environment were collected by Portable Digital Assistant(PDA)through the ZigBee Wireless Sensors Network(WSN)deployed in the apple *** collected data were packaged and uploaded following the transportation protocol through the web service interface provided by the orchard *** that the orchard data were parsed and stored using distributed ***,the data could be processed,analyzed and visualized by the cloud orchard server,and the orchard production decisions based on WebGIS technology could be made as *** the users could access the services provided by the network platform via remote mobile or fixed *** system operation test showed that the whole process was stable and reliable,during which intelligent data collection,storage,and cloud data processing and publishing services were achieved.

关键词： orchard PDA WSN WebGIS distributed storage web service

Highlights in precision agriculture

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Frontiers of Agricultural Science and Engineering 2018年第4期5卷 391-392页

作者： Chunjiang ZHAO Minzan LI National Engineering Research Center for Information Technology in agriculture Beijing 100097China Key laboratory of Modern precision agriculture System Integration Research of Ministry of Education China Agricultural UniversityBeijing 100083China

precision agriculture,which can be also called precision farming,may be defined as a management strategy that uses information and communication technologies(ICT)to bring data from multiple sources to bear on decisions associated with crop *** the introduction of this new technological and industrial revolution proceeds,biotechnology,new materials and nanotechnology,Internet of things(IoT),and new energy technologies have been infiltrating rapidly into *** manufacturing of agricultural equipment,agricultural big data,and agricultural robots are being adopted by the industry and are gradually being introduced to all fields of production *** agriculture,as the upgrade of precision agriculture is often called,has developed a strong momentum in terms of research,development,commercialization and adoption.

关键词： precision agriculture precision farming communication technologies

Apple detection from apple tree image based on BP neural network and Hough transform

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International Journal of Agricultural and Biological Engineering 2015年第6期8卷 46-53页

作者： Xiao Changyi Zheng Lihua Li Minzan Chen Yuan Mai Chunyan Key laboratory of Modern precision agriculture System Integration Research Ministry of EducationChina Agricultural UniversityBeijing100083China

Using machine vision to accurately identify apple number on the tree is becoming the key supporting technology for orchard precision production *** adapting to the complexity of the field environment in various detection situations,such as illumination changes,color variation,fruit overlap,and branches and leaves shading,a robust algorithm for detecting and counting apples based on their color and shape modes was ***,BP(back propagation)neural network was used to train apple color identification *** the irrelevant background was removed by using the trained neural network model and the image only containing the apple color pixels was *** apple edge detection was carried out after morphological operations on the obtained ***,the image was processed by using circle Hough transform algorithm,and apples were located with the help of calculating the center coordinates of each apple edge *** validation experimental results showed that the correlation coefficient of R2 between the proposed approaches based counting and manually counting reached *** illustrated that the proposed algorithm could be used to detect and count apples from apple trees’images taken in field environment with a high precision and strong anti-jamming feature.

关键词： apple detecting and counting BP neural network Hough transform color segmentation edge detection

Depth distortion correction for consumer-grade depth cameras in crop reconstruction

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Information Processing in agriculture 2023年第4期10卷 523-534页

作者： Cailian Lao Yu Feng Han Yang Key laboratory of Modern precision agriculture System Integration Research Ministry of EducationChina Agricultural UniversityBeijing 100083PR China Key laboratory of Agricultural Information Acquisition Technology Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijing 100083PR China

Modern consumer-grade RGB-D cameras provide intensive depth estimation and high frame *** have been widely used in ***,depth anamorphose occurswhen using the RGB-D *** order to address this issue,this paper proposes a novel approach to correct the distorted depth images that fit the relationship between the true distances and the depth values from depth *** study considers the structured light camera ASUS Xtion PRO LIVE as example to develop a system for obtaining a series of depth images at different distances from the target plane.A comparison analysis is conducted between the images before and after correction to evaluate the performance of the distortion *** point cloud image of corrected maize leaves is well coincident with the original *** approach improves the accuracy of depth measurement and optimizes the subsequent use of the depth camera in crop reconstruction and phenotyping studies.

关键词： RGB-D camera Structured light Distortion Depth correction Point cloud

A lab-on-a-disc platform based on nickel nanowire net and smartphone imaging for rapid and automatic detection of foodborne bacteria

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Chinese Chemical Letters 2022年第4期33卷 2091-2095页

作者： Xiaoting Huo Lei Wang Wuzhen Qi Na Rong Yingjia Liu Siyuan Wang Hong Duan Jianhan Lin Key laboratory of Agricultural Information Acquisition Technology Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijing 100083China Key laboratory of Modern precision agriculture System Integration Research Ministry of EducationChina Agricultural UniversityBeijing 100083China

Foodborne pathogenic bacteria have been considered as a major risk factor for food safety. It is of great significance to carry out in-field screening of pathogenic bacteria to prevent the outbreaks of foodborne diseases. In this study, a portable lab-on-a-disc platform with a microfluidic disc was developed for rapid and automatic detection of Salmonella typhimurium using a nickel nanowire(Ni NW) net for effective separation of target bacteria, horseradish peroxidase nanoflowers(HRP NFs) for efficient amplification of biological signals, and a self-developed smartphone APP for accurate analysis of colorimetric images. First,the microfluidic disc was preloaded with reagents and samples and centrifuged to form one bacterial sample column, one immune Ni NW column, one HRP NF column, two washing buffer columns and one tetramethylbenzidine(TMB) column, which were separated by air gaps. Then, a rotatable magnetic field was specifically developed to assemble the Ni NWs into a net, which was automatically controlled by a stepped motor to successively pass through the sample column for specific capture of target bacteria, the HRP NF column for specific label of target bacteria, the washing columns for effective removal of sample background and non-specific binding NFs, and the TMB column for colorimetric determination of target bacteria. The color change of TMB from colorless to blue was finally analyzed using the smartphone APP to quantitatively determine the target bacteria. This lab-on-a-disc platform could detect Salmonella typhimurium from 5.6 × 10^(1) CFU/20 μL to 5.6 × 10^(5) CFU/20 μL in 1 h with a lower detection limit of 56 CFU/20 μL. The recovery of target bacteria in spiked chicken samples ranged from 97.5% to 101.8%. This portable platform integrating separation, labeling, washing, catalysis and detection onto a single disc is featured with automatic operation, fast reaction, and small size and has shown its potential for in-field detection of foodborne pathoge

关键词： Lab-on-a-disk platform Nickel nanowire net Horseradish peroxidase nanoflowers Smartphone Bacteria detection

Sensors for measuring plant phenotyping:A review

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International Journal of Agricultural and Biological Engineering 2018年第2期11卷 1-17页

作者： Ruicheng Qiu Shuang Wei Man Zhang Han Li Hong Sun Gang Liu Minzan Li Key laboratory of Modern precision agriculture System Integration Research Ministry of EducationChina Agricultural UniversityBeijing 100083China Key laboratory of Agricultural Information Acquisition Technology Ministry of AgricultureChina Agricultural UniversityBeijing 100083China

Food crisis is a matter of prime importance because it becomes more severe as the global population *** the solutions to this crisis,breeding is deemed one of the most effective ***,traditional phenotyping in breeding is time consuming and laborious,and the database is insufficient to meet the requirements of plant breeders,which hinders the development of ***,innovations in phenotyping are urgent to solve this *** morphometric and physiological parameters of plant are particularly interested to *** sensors have been employed and novel algorithms have been proposed to collect data on such *** paper presents a brief review on the parameter measurement for phenotyping to describe its development in recent *** parameters that have been measured in phenotyping are introduced and discussed,including plant height,leaf parameters,in-plant space,chlorophyll,water stress,and *** the measurement methods of each parameter with different sensors were classified and *** comprehensive measurement platforms were also summarized,which are able to measure several parameters ***,some deficiencies of phenotyping should be addressed,and novel methods should be proposed to reduce cost,improve efficiency,and promote phenotyping in the future.

关键词： plant phenotype high-throughput phenotyping sensor morphometric parameters physiological parameters