Crop Monitoring and Yield Prediction for Arid and Semi-Arid Farming Systems

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".

Deadline for manuscript submissions: 1 May 2026 | Viewed by 8

Special Issue Editors

College of Water Resources and Architecture Engineering, Northwest A&F University, Yangling 712100, China
Interests: smart water conservancy; green and intelligent irrigation technologies and equipment; agricultural remote sensing

E-Mail Website
Guest Editor
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northeast A&F University, Yangling 712100, China
Interests: precise agriculture; irrigation hydraulics; green and low-energy consumption sprinkler and micro-irrigation technologies and equipment

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to our Special Issue, "Crop Monitoring and Yield Prediction for Arid and Semi-Arid Farming Systems".

In arid and semi-arid regions, where water scarcity, extreme climate variability, and fragile ecosystems pose persistent challenges, ensuring stable crop production and food security requires precise and forward-looking agricultural management. Crop monitoring and yield prediction have emerged as critical pillars for optimizing resource allocation, mitigating risks, and enhancing the resilience of farming systems in these water-constrained environments. From real-time crop health diagnostics to reliable yield forecasting, advanced technologies and data-driven approaches are transforming how we understand, manage, and sustain agricultural productivity in these regions.

This Special Issue aims to showcase cutting-edge research advances in these fields. We welcome studies on remote sensing (satellite, UAV, ground-based), IoT sensors, AI, and machine learning for crop health diagnostics, stress detection, and yield forecasting. Additionally, we encourage studies on integrated approaches that combine agronomic expertise, climate modeling, and soil–water dynamics to improve prediction accuracy and practical applicability.

We invite original research articles and comprehensive reviews that can help shape strategies to enhance agricultural sustainability and resilience in arid and semi-arid farming systems.

Dr. Xin Hui
Dr. Maosheng Ge
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com 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. Agronomy 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

  • arid and semi-arid farming systems
  • crop monitoring
  • yield prediction
  • remote sensing in agriculture
  • precision agriculture technologies
  • IoT-based crop sensing
  • machine learning for yield estimation
  • drought stress detection
  • agricultural data analytics
  • climate-resilient crop forecasting

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers

This special issue is now open for submission.
Back to TopTop