Remote Sensing Diagnosis and Intelligent Decision-Making for Water and Nitrogen Physiology of Crops
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".
Deadline for manuscript submissions: 20 July 2026 | Viewed by 5
Special Issue Editors
Interests: intelligent water and nutrient management in crop production
Interests: forage crops; fertigation; plant–water relations; irrigation science; grazing management; intercropping; sustainable agricultural; soil health; water use
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The efficient management of water and nitrogen remains a cornerstone challenge in modern agriculture, directly impacting crop yield, quality, and ecological sustainability. Traditional field-based diagnostic methods often fall short in capturing the spatial and temporal variability of crop physiological responses; however, recent advances in remote sensing technologies—coupled with intelligent decision-making frameworks such as machine learning, data assimilation, and physiological modeling—are revolutionizing our ability to monitor, interpret, and manage crop water and nitrogen dynamics at multiple scales.
This Special Issue of Agronomy, entitled “Remote Sensing Diagnosis and Intelligent Decision-Making for Water and Nitrogen Physiology of Crops”, aims to showcase cutting-edge research at the intersection of agronomy, remote sensing, and artificial intelligence. Areas of interest include the following topics:
- Remote sensing indicators for crop water and nitrogen diagnosis;
- AI-driven models for decision support and precision interventions;
- Multiscale data fusion from UAVs, satellites, and in-field sensors;
- The mechanistic modeling of crop–soil–environment interactions.
We invite high-quality original research, reviews, and interdisciplinary studies that advance both scientific understanding and practical implementation of intelligent crop input management.
Dr. Maona Li
Dr. Shicheng Yan
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
- water and nitrogen management
- remote sensing
- AI-driven diagnosis and decision-making
- multisource data fusion
- crop physiology
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