Proximal and Remote Sensing for Precision Crop Management (Third Edition)

Dear Colleagues,

One of the most significant challenges of the 21st century is how to simultaneously increase crop yield and resource use efficiency, to achieve food security and sustainable agricultural development while protecting the environment in response to global climate change. Precision agriculture has the potential to make significant contributions to meet this challenge. Precision agriculture research has mainly focused on the precision management of different components of crop production, such as nutrient, water, weed, disease, harvest, tillage, etc. These precision management technologies can significantly improve resource-use efficiency, but often have a limited impact on crop yield, which is influenced by genetics, environmental factors and management practices, as well as their interactions. Therefore, precision agriculture must move from the management of a single practice or input to integrated precision crop management systems, to improve crop yield, quality, profitability, and sustainability.

Proximal and remote sensing technologies are crucially important to the development of successful precision crop management strategies and systems. This Special Issue aims to help readers keep up with progress on the applications of proximal crop sensors, both manned and unmanned airborne remote sensing, and high-spatial- and temporal-resolution satellite remote sensing, looking at different aspects of the precision management of cereal crops, vegetables, fruit trees, etc., as well as the development of integrated precision crop management systems with intelligent and smart operations. We would like to invite you to submit research and review papers on (but not limited to) the following topics:

• Proximal and remote-sensing-based non-destructive detection of plant nutrient stress, water stress, weed, disease, insects, etc;
• Simultaneous diagnosis of different crop stress factors;
• Applications of proximal and remote sensing for soil mapping and crop yield and quality assessment;
• Remote-sensing-based, site-specific management zone delineation for precision crop management;
• Proximal and remote-sensing-based precision crop management strategies, including the management of nitrogen and other nutrients, seeding, tillage, weed, disease, insects, and lodging;
• Combining remote sensing, machine learning, and crop growth modeling for precision crop management;
• Data fusion of plant health sensing and other related information for precision crop management;
• Sensing-technology-based integrated precision crop management systems;
• New sensing technologies for precision crop management;
• Applications of artificial intelligence, machine/deep learning, and big data analysis for precision crop management.

Dr. Yuxin Miao
Dr. Yanbo Huang
Dr. Krzysztof Kusnierek
Prof. Dr. Abdul M. Mouazen
Dr. Lingwei Dong
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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.