Special Issue "Predictive Modeling to Aid Agronomic Decision Making"

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Farming Sustainability".

Deadline for manuscript submissions: 1 February 2021.

Special Issue Editor

Dr. Peter Kyveryga
Website1 Website2
Guest Editor
Iowa Soybean Association, Ankeny, IA, USA
Interests: predictive modeling; analytical approaches; agronomic decision-making process; communication of predictive modeling results

Special Issue Information

Dear Colleagues,

To produce crops economically and sustainably, agronomists and farmers should consider a range of interactive environmental factors, including soil, climatic, field management, and production equipment. Available data collection technologies (remote and proximal sensing, precision agriculture, and others) allow us to characterize these factors at much finer scales and with greater frequency than ever before. At the same time, new analytical tools and methodologies that can handle this surge of agronomic data are becoming more common. Predictive modeling, a general umbrella term for a variety of analytical methods, is often touted as the ultimate way to make sense of these data and better understand agronomic processes and interactions among various factors. While the concept of predictive modeling is not new, there is a growing interest among students, researchers, practical agronomists, farmers, and environmentalists in how to use new predictive analytical tools to generate new information out of complexity to develop or simplify and communicate complex agronomic decisions.

We invite original articles that are focused on agronomic topics related to:

  • Methodologies including process-based, statistical, machine learning, data fusion, and hybrid approaches for predictive modeling;
  • Decision aid tools based on predictive modeling;
  • Researcher- and practitioner-friendly communication of predictive modeling results;
  • Quanitfying the economic and environmental impact of predictive modeling;
  • Practical examples of using predicive modeling to improve soil productivity, crop production, production economics, soil health, and environmental stewardship;
  • Integreated and interdisplinary approaches for predictive modeling and decision making.

Original thinking and new ideas are welcomed. Studies, analyses, and examples should follow the common scientific rigor, including replications in time or space and appropriate statistical analyses.

Consideration of manuscripts for this Special Issue will begin immediately and continue until February 2021. 

Dr. Peter Kyveryga
Guest Editor

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 papers will be 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 1600 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.


  • predictive modeling
  • analytical approaches
  • agronomic decision-making process
  • communication of predictive modeling results

Published Papers

This special issue is now open for submission.
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