中文
Share
Share
中文
ISSN 2096-7217 CN 32-1887/S2
Quick Search
Citation Search
Site Search
Adv Search
Toggle navigation
JIAM
Organizer
Home
About
Journal Introduction
Editorial Board
Open Access Statement
Ethic Statement
Academic Misconduct
Browse
Just Accepted
Current Issue
Archive
Hot Papers
Special Issues
Most Cited
Most Viewed
Most Downloaded
Author Center
Online Submission
Guides for Authors
Review Process
Peer Review
Copyright Transfer Agreement
Charge and Remuneration
Download
Manuscript Review
Expert Review
Edit office
Editor in chief
Included
CNKI
WANFANG DATA
VIP
SUPERSTAR
Subscribe
RSS
Email Alert
Subscription
Contact Us
Contact Us
Advertisement
Article Result
Journals
Publication Years
Keywords
Search within results
(((Tong Yifei[Author]) AND 1[Journal]) AND year[Order])
AND
OR
NOT
Title
Author
Institution
Keyword
Abstract
PACS
DOI
Please wait a minute...
Choose
Download reference
EndNote
Reference Manager
ProCite
BibTeX
RefWorks
Show/Hide thumbnails
Select
Design and experiment ofself-propelled precisionsowing and fertilizing control system for vegetables
Mei Song, Xiao Suwei, Jiang Qinghai, Lü Xiaolan, Tong Yifei
Journal of Intelligent Agricultural Mechanization (in Chinese and English) 2022, 3 (1): 54-61. DOI:
10.12398/j.issn.2096-7217.2022.01.007
Abstract
(
231
)
PDF
(2171KB)(
57
)
Knowledge map
Aiming at the current poor quality of vegetable sowing and fertilization, a wheeled self-propelled sowing and fertilization integrated operation mode was put forward in this paper. According to functional requirements of the chassis height adjustment, precision seed metering, fertilizer and sowing fertilizer collaborative operation and wheeled self-propelled, PLC microcontroller was taken as the core, and systems of the precision sowing and fertilizing linkage control, intelligent sowing depth control and wheeled four-wheel drive walking were designed respectively, and the relationship model between forward operation speed and forward operation speed was established. Then, the touch-screen control system was also developed. Finally, the self-propelled vegetable precision sowing and fertilizing control system were integrated and developed. Further, the system performance test was carried out, and the results show that the fertilizer discharge accuracy of the machine reaches 0.1 g. Setting the seed distance to 150 mm, the test results show that the error between the average value of the detected seed distance and the preset value is 2.7%-6.5%; Setting the depth of sowing fertilizer to 30 mm, the test results show that the error between the average value of the detection depth and the preset value is 12.7%-16%.
Reference
|
Related Articles
|
Metrics
Select
Analysis of application status of intelligent manufacturing in agricultural machinery
Pei Fengque , Yang Kaiwei , Wang Miao , Tong Yifei
Journal of Intelligent Agricultural Mechanization (in Chinese and English) 2022, 3 (1): 7-19. DOI:
10.12398/j.issn.2096-7217.2022.01.002
Abstract
(
373
)
PDF
(1485KB)(
139
)
Knowledge map
Intelligent and green agricultural machinery has become an important goal at this stage. The application of intelligent manufacturing in the field of agricultural machinery has ushered in unprecedented market opportunities. This paper firstly analyzes the development status of agricultural machinery, and studies the key enabling technologies for intelligent manufacturing in agricultural machinery, including new IT, big data, cloud computing, digital twin and robotics, etc. Then the new development and application brought by intelligent manufacturing to agricultural machinery are summarized, including the design, management and maintenance, operation and new energy of agricultural machinery. Finally, the challenges and application prospects are discussed, and urgent problems are pointed out, including the lack of basic data, limitation of intelligent manufacturing in agricultural machinery, insufficient intelligent operation and maintenance as well as less application of intelligent operation in agricultural machinery. It is suggested that in the future, four research perspectives should be noticed, namely the design of knowledge base, the breakthrough of key application, the establishment of a unified platform and the intelligence of agricultural machinery. By solving these bottlenecks, the development of intelligent manufacturing in agriculture machinery will be greatly promoted.
Reference
|
Related Articles
|
Metrics