The development of mechanistic models for predicting growth of various crops (including potatoes) has continued for several decades, and new applications of such models are increasingly becoming available. Despite the benefits of this development, it may be difficult for the user to decide which models are suitable for a specific purpose (such as decision making in potato farming). In this chapter, we try to provide insights that would help the potential user to better understand the benefits and limitations of various types of models. First, we present some ideas of the general principles of mechanistic modelling and potential applications of crop models. Then we briefly describe the main physiological processes of potato growth and how they have been handled in mechanistic models. Finally, we provide examples of the recent applications of potato models and discuss the future use of the models for new applications, mainly in precision farming.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.