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Teaching Reform and Practice of Animal Products Processing under the Background of intelligent agriculture

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Asian Agricultural Research 2022年第11期14卷 74-76页

作者： Zhoulin WU Wei WANG Lili JI Bo HOU Ting BAI Jiamin ZHANG Meat Processing Key Laboratory of Sichuan Province Chengdu UniversityChengdu 610106China College of Food and Biological Engineering Chengdu UniversityChengdu 610106China

Effective food professional personnel training strategies are explored and implemented,and interdisciplinary talents of food science and engineering in accordance with the background of intelligent agriculture are cultivated from the aspects of construction of teaching staff,reform of teaching content,upgrading of teaching model,construction of industry-education integration platform,which is of great significance to the modernization development of Chinese animal products processing industry.

关键词： Animal products processing intelligent agriculture Talent training Integration of production and education

Method for the navigation line recognition of the ridge without crops via machine vision

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International Journal of Agricultural and Biological Engineering 2024年第2期17卷 230-239页

作者： Wei Liu Jianping Hu Jiaxin Liu Rencai Yue Tengfei Zhang Mengjiao Yao Jing Li School of Agricultural Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina

Some agriculture machinery like the transplanter,needs to operate by following the crop-free *** order to improve working efficiency and quality,some autonomous navigation systems were developed and applied to ridge-following *** present,agricultural navigation systems are mainly the satellite navigation system and the machine vision *** satellite navigation system is difficult to apply to the machinery that needs to work by following the ridge because it cannot distinguish the shape of the navigated ridge and guide the machinery working along the *** this study,697 cloudy ridge images and 235 sunny ridge images were taken in the field,and these images were used as the ***,a machine vision navigation method based on the color of ridges was ***,the regions of interest(ROI)in the ridge image were extracted according to the reaction time and the forward speed of the ***,a gray reconstruction method was used to enlarge the color difference between the ridge and the *** optimal threshold for the gray image segmenting was calculated real-timely by using the threshold segmentation ***,based on the contour detection method,the ridge contour which was not surrounded by holes was ***,the approximate quadrilateral method was proposed to recognize the ridge center line as the navigation *** method proposed in this study was verified by four types of ridges with different colors and *** experimental results showed that the recognition success rates of the light ridge,the dark ridge,the film-covered ridge,and the sunny ridge were 100%,97.5%,100%,and 98.7%,*** recognition success rate of the proposed method was at least 8%higher than that of the existing ridge-furrow recognition *** results indicate that this method can effectively realize navigation line *** method can provide technical support for the autonomous navigation of agricultural mac

关键词： navigation line recognition machine vision ridge line recognition intelligent agriculture

Review of the detasseling techniques for maize(Zea mays L.)hybrid seed production

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International Journal of Agricultural and Biological Engineering 2024年第3期17卷 1-11页

作者： Ruirui Zhang Jiaxuan Yang Liping Chen Chenchen Ding Longlong Li Linhuan Zhang National Research Center of intelligent Equipment for agriculture Beijing Academy of Agriculture and Forestry SciencesBeijing 100097China National Center of International Research on Agricultural Aerial Application Technology Beijing 100097China Research Center of intelligent Equipment Beijing Academy of Agriculture and Forestry SciencesBeijing 100097China

Maize(Zea mays L.)is a critical staple crop globally,integral to human consumption,food security,and agricultural product *** quality and purity of maize seeds,essential for hybrid seed production,are contingent upon effective *** study investigates the evolution of detasseling technologies and their application in Chinese maize hybrid seed production,with a comparative analysis against the United States.A comprehensive examination of the development and utilization of detasseling technology in Chinese maize hybrid seed production was undertaken,with a specific focus on key *** from the United States were included for comparative *** analysis encompassed various detasseling methods,including manual,semi-mechanized,and cytoplasmic male sterility,as well as more recent innovations such as detasseling machines,and the emerging field of intelligent detasseling driven by unmanned aerial vehicles(UAVs),computer vision,and mechanical *** detasseling methods were predominantly employed by *** the challenges of inflexible and occasionally overlooked,applying detasseling machines is efficient and *** present,China’s detasseling operations in hybrid maize seed production are mainly carried out by manual work,which is labor-intensive and *** order to address this issue,China is dedicated to developing intelligent detasseling *** study emphasizes the critical role of detasseling in hybrid maize seed *** United States has embraced mechanized *** application and development of manual and mechanized detasseling were applied later than those in the United States,but latest intelligent detasseling technologies first appeared in *** detasseling is expected to be the future direction,ensuring the quality and efficiency of hybrid maize seed production,with implications for global food security.

关键词： detasseling technique detasseling machine UAVs intelligent agriculture maize hybrid seed production

Remote monitoring system for maize seeding parameters based on Android and wireless communication

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International Journal of Agricultural and Biological Engineering 2020年第6期13卷 159-165页

作者： Chunji Xie Dongxing Zhang Li Yang Tao Cui Xiangjun Zhong Yuhuan Li Youqiang Ding Zhengliang Ding College of Engineering China Agricultural UniversityBeijing 100083China

Most traditional maize seeding parameter monitoring devices use wired data *** problems include wiring troubles,short transmission *** human-computer interaction display terminals are unique and usually customized rather than universal.A remote monitoring system for maize seeding parameters based on Android and wireless communication was developed in this *** system used a single-chip microcomputer as the main controller and an infrared photoelectric sensor to capture seed *** Android terminal application was used to set and display the seeder’s seed parameter information and monitor *** Air202 communication module enabled remote data transmission,while the Global Positioning System(GPS)monitored the speed of the *** establishing a message queue telemetry transmission(MQTT)cloud served as a data freight station,data reception,storage and forwarding can be *** parameters can generate Excel spreadsheets in real-time for easy data processing and *** order to verify the reliability of the system,the seeding parameter monitoring comparison test and the multi-terminal remote monitoring test were *** results of the seeding parameter monitoring comparison test showed that the monitoring system of this study had higher monitoring *** maximum average relative error of seeding parameter monitoring was 0.4%,which had high monitoring *** multi-terminal remote monitoring test showed that the monitoring system of this research can adapt many types of Android terminals,realize the wireless connection,and realize remote synchronous monitoring at different *** study provides a reference for intelligent remote monitoring and intelligent agriculture on unmanned farms.

关键词： remote monitoring system maize seeding parameters Android and wireless communication remote synchronous monitoring intelligent agriculture

Design and experiment of intelligent sorting and transplanting system for healthy vegetable seedlings

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International Journal of Agricultural and Biological Engineering 2021年第4期14卷 208-216页

作者： Mingyong Li Xin Jin Jiangtao Ji Pengge Li Xinwu Du College of Mechatronics Engineering Henan University of Science and TechnologyLuoyang 471003HenanChina College of Agricultural Equipment Engineering Henan University of Science and TechnologyLuoyang 471003HenanChina Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province Luoyang 471003HenanChina

Healthy vegetable seedlings are surviving seedlings with good biological *** planting of healthy seedlings in the mechanized transplanting process can effectively avoid the reduction in yield caused by missed *** at the current transplanting machinery that cannot achieve the selective planting of healthy seedlings,a healthy seedling intelligent sorting and transplanting system was *** system consisted of a seedling delivery mechanism,sorting mechanism,photoelectric sensor,image sensor,PLC control system,and computer control *** can realize automatic transmission of seedling trays,automatically identify the information of healthy seedlings in the trays and selectively transplant *** it can reduce the missed planting rate caused by the poor quality of plug seedlings after planting and the lack of seedlings in the hole.A sorting test of plug seedlings was carried out for the age-appropriate pepper plug seedlings cultivated in the *** results showed that the system had an average recognition accuracy rate of 89.14%and an average sorting success rate of 93.20%in the process of sorting suitable age pepper plug *** whole system can identify,sort and transplant the plug seedlings of appropriate age according to healthy information,and effectively avoid missing *** research can provide technical support for the intelligent upgrade of transplanting equipment.

关键词： intelligent agriculture sorting and transplanting system healthy vegetable seedling design experiment image sensor

Study on the intelligent Control Model of a Greenhouse Flower Growing Environment

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国际计算机前沿大会会议论文集 2022年第2期 127-145页

作者： Jinyang Zhen Rui Xu Jian Li Shiming Shen Jianhui Wen School of Computer Science and Information Security Guilin University of Electronic TechnologyGuilin 541004China Satellite Navigation Positioning and Location Service Engineering Research Center Guilin University of Electronic TechnologyGuilin 541004China Ecological and Environmental Monitoring Center of Guangxi Guilin 541002China

intelligent control of the greenhouse planting environment plays an important role in improving planting efficiency and guaranteeing the quality of precious *** them,how to adapt the air humidity,temperature and light intensity in greenhouses to the different needs of the flower growth cycle is the key problem of intelligent ***,an intelligent flower planting environment monitoring and control system model(named)based on the Internet of Things and fuzzy-GRU network adaptive learning is *** above three parameters in the greenhouse were used as model input *** optimal growth humidity,temperature and illumination intensity of flowers are determined by the model,and the output temperature,humidity and illumination intensity act on the executing organ of the greenhouse room by the single-chip *** model was evaluated using field greenhouse *** results show that the performance of this model is better than that of the PID model and fuzzy control model in simulation experiments and actual scene *** with the flowers in the natural state,the plants of the flowers under systematic control were approximately 6 cm higher than those in the natural state on average,the blooming time of the flowers was approximately two days longer than that in the natural state,and the quality of the flowers was stable.

关键词： Internet of Things intelligent agriculture AI Greenhouse cultivation Real-time control