Technological Progress and Application Prospects of Unmanned Agricultural Machinery

HomePage >> Journals >> Scientific Journal of Information Engineering

Scientific Journal of Information Engineering

Scientific Journal of Information Engineering (SJIE) is an international open access journal, concerning about the latest research results of information engineering. The goal of the journal is to provide a global forum for scholars and researchers in this field to exchange ideas and promote the development of theories, applications and technologies in all areas of information engineering.The journal receives manuscripts written in Ch... [More] Scientific Journal of Information Engineering (SJIE) is an international open access journal, concerning about the latest research results of information engineering. The goal of the journal is to provide a global forum for scholars and researchers in this field to exchange ideas and promote the development of theories, applications and technologies in all areas of information engineering.

The journal receives manuscripts written in Chinese or English. As for Chinese papers, the following items in English are indispensible parts of the paper: paper title, author(s), author(s)'affiliation(s),abstract and keywords. If this is the first time you contribute an article to the journal, please format your manuscript as per the sample paper and then submit it into the online submission system. Accepted papers will immediately appear online followed by printed hard copies by Ivy Publisher globally. Therefore, the contributions should not be related to secret. The author takes sole responsibility for his views.

ISSN Print:2167-0218

ISSN Online:2167-0226

Email:sjie@ivypub.org

Website: http://www.ivypub.org/sjie/

		0
		0

Navigation

News

All articles submitted to this journal are required to be tested by AMLC.

This journal is full-text indexed by CNKI which is the China's most authoritative academic resources database.

This journal is full-text indexed by Open J-Gate.

Paper Infomation

Technological Progress and Application Prospects of Unmanned Agricultural Machinery

Full Text(PDF, 57KB)

Author: Cheng Guo

Abstract: With the continuous growth of the global population and the acceleration of urbanization, traditional agriculture faces severe challenges, such as labor shortages, low efficiency in agricultural resource utilization, and uncertainties caused by climate change. Unmanned agricultural machinery, as an integral part of smart agriculture, utilizes automation and intelligent technologies to achieve precise control over the entire agricultural production process, improving production efficiency, reducing labor costs, minimizing environmental impacts, and enhancing sustainability. In recent years, with advancements in information technology, artificial intelligence, and the Internet of Things, unmanned agricultural machinery has made significant technological progress and has gradually entered the commercialization stage. This study aims to analyze the technological advancements and development trends of unmanned agricultural machinery and explore its application prospects in practical production. By investigating this emerging technology, the research not only provides a theoretical foundation for agricultural technological innovation but also offers practical references for policymakers, agricultural enterprises, and practitioners. Particularly in the critical period of global agricultural transformation, research on unmanned agricultural machinery holds significant economic, environmental, and social value.

Keywords: Unmanned Agricultural Machinery, Technological Progress, Application Prospects, Smart Agriculture, Automation

References:

[1] Xicheng L. Recent development in unmanned agriculture vehicle: a review[C]//Wuhan University (China),2023

[2] Che Y, Zheng G, Li Y, et al. Unmanned Agricultural Machine Operation System in Farmland Based on Improved Fuzzy Adaptive Priority-Driven Control Algorithm[J].Electronics,2024,13(20):4141-4141.

[3] Ren H, Wu J, Lin T, et al. Correction: Ren et al. Research on an Intelligent Agricultural Machinery Unmanned Driving System.Agriculture2023,13, 1907[J].Agriculture,2023,14(1)

[4] Ren H, Wu J, Lin T, et al. Research on an Intelligent Agricultural Machinery Unmanned Driving System[J].Agriculture,2023,13(10)

[5] Shi M, Feng X, Pan S, et al. A Collaborative Path Planning Method for Intelligent Agricultural Machinery Based on Unmanned Aerial Vehicles[J].Electronics,2023,12(15)

[6] Zhiwen R, Penghao C, Shangqing C, et al. A precise crop row detection algorithm in complex farmland for unmanned agricultural machines[J].Biosystems Engineering,2023,2321-12.

[7] Ru J, Farkhod K, Dong Z, et al. Design and Implementation of Unmanned Agricultural Machinery[J].IOP Conference Series: Materials Science and Engineering,2020,799(1):012032.

[8] N. M A, A. P K, A. I T. DEVELOPMENT TRENDS OF UNMANNED ROBOTIC SYSTEMS: EXPERIENCE OF DOMESTIC AND FOREIGN MANUFACTURERS[J].The Russian Automobile and Highway Industry Journal,2019,16(4):416-430.