UAV Agricultural Management: Recent Advances and Future Prospects

A special issue of Drones (ISSN 2504-446X).

Deadline for manuscript submissions: 15 July 2024 | Viewed by 614

Special Issue Editors


E-Mail Website
Guest Editor
University of Arkansas Agricultural Experiment Station, Arkansas Forest Resources Center, University of Arkansas, Monticello, AR, USA
Interests: environmental information science; GeoAI; GIS and remote sensing; LiDAR; big geospatial data analytics; land evaluation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Remote sensing involves collecting data about crops and soil conditions without physical contact. Recent advancements in UAV technology have made UAV remote sensing systems popular owing to their mobile, rapid, and economical characteristics. UAV remote sensing has gradually advanced from being employed solely in research to its utilization in practical applications, such as precision agriculture, vegetated area monitoring, crop area map**, wildlife research, archaeological application, and environmental monitoring. This technology has the advantages of automation, intelligence, and specialization, enabling the rapid acquisition of remote sensing information about land, resources, environment, and events. Moreover, UAV remote sensing provides the real-time processing, modeling, and analysis of advanced emerging aerial remote sensing technology solutions. Due to its low cost and high level of detail, UAV remote sensing is revolutionizing many agricultural, environmental, archaeological, and surveillance applications by offering the repeated acquisition of high-resolution image data over large areas.

One of the critical advantages of UAV remote sensing in agriculture is its ability to provide accurate and detailed information without causing damage to crops. This is possible by combining UAV remote sensing with advanced spectral imaging techniques, which can monitor farm crop growth in real-time, generating farmland crop prescription maps based on high-resolution spectral images. This plays a vital role in monitoring crop growth, identifying issues, and creating targeted intervention plans. However, it is essential to note that low-altitude remote sensing operations are bound to affect ground crops due to the rotor wind field of UAVs.

This Special Issue aims to explore the recent advances and prospects of UAV (Unmanned Aerial Vehicle) agricultural management. It seeks to provide a platform for researchers, scientists, and practitioners to showcase their innovative research and discuss the potential of UAV technology in revolutionizing agricultural practices. The Special Issue will address a wide range of topics, including, but not limited to, remote sensing, image analysis, data processing, and the applications of UAVs in agriculture. By highlighting the latest advancements in using unmanned aerial vehicle (UAV) technology in agricultural management and discussing future directions, this Special Issue aims to contribute to the growing body of knowledge in the field of UAV agricultural management. Research articles, review articles and short communications are welcome.

Dr. Hamdi Zurqani
Dr. Alessandro Matese
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Drones is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • enhanced crop monitoring using UAVs
  • real-time monitoring of plant health
  • optimal resource allocation for farming
  • detecting and preventing crop diseases
  • automated irrigation systems using UAVs
  • improved pest management strategies
  • high-resolution data for yield prediction
  • timely identification of nutrient deficiencies
  • enhanced crop scouting capabilities
  • minimizing chemical input with UAVs
  • optimizing harvest timing using drones
  • sustainable agriculture through UAVs

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 2248 KiB  
Article
An Innovative Management Framework for Smart Horticulture—The Integration of Hype Cycle Paradigm
by Mircea Boșcoianu, Sebastian Pop, Pompilica Iagăru, Lucian-Ionel Cioca, Romulus Iagăru and Ioana Mădălina Petre
Drones 2024, 8(7), 291; https://doi.org/10.3390/drones8070291 - 27 Jun 2024
Viewed by 231
Abstract
The aim of this paper is to identify the possibilities of the implementation of the Innovative Management Framework for Intelligent Horticulture (IMFIH) by farmers with the aim of deepening the dynamics of innovation and technologic transfer processes related to the integration of the [...] Read more.
The aim of this paper is to identify the possibilities of the implementation of the Innovative Management Framework for Intelligent Horticulture (IMFIH) by farmers with the aim of deepening the dynamics of innovation and technologic transfer processes related to the integration of the aerial work capability offered by mini UAV systems in precision horticulture. Starting from an aerial system for intelligent monitoring and smart horticulture applications, the research methodology is designed to understand the specific processes of this transfer of innovation in a field characterized by evolutionary dynamics and in the context of a lack of data. Thus, it is considered to be a mix of both quantitative and qualitative methods used in order to identify the needs and opinions of farmers regarding the possible use of the capabilities of mini UAV systems and especially how to access this capability. The obtained results showed the profile of the farmers interested in mini UAV systems for monitoring field crops and also the relevant factors for initiating/accessing them: specialized education, entrepreneurial education, area owned, ability to create partnerships, intention to access/develop mini UAV systems, and the existence of an integrated framework for analyzing the opportunities and restrictions of implementing mini UAV systems in precision horticulture applications. The integration of the Hype Cycle Paradigm (HCP) into the proposal of IMFIH led to the creation of the IMFIH-HCP as an innovative framework capable of stimulating the dissemination and transfer of knowledge and technology in the case of future horticultural applications of precision in an emerging market. Full article
(This article belongs to the Special Issue UAV Agricultural Management: Recent Advances and Future Prospects)
Show Figures

Figure 1

Back to TopTop