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Toward crop variety recommender systems
Toward crop variety recommender systems
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Toward crop variety recommender systems
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Toward crop variety recommender systems
Toward crop variety recommender systems
Journal Article

Toward crop variety recommender systems

2026
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Overview
Choosing an optimal crop variety to plant is one of the most important decisions faced by farmers. Nowadays, recommender systems are almost ubiquitous in several human activities, except in agriculture, and more deeply absent in crop variety decision‐making. This commentary presents the potential applications of crop variety recommender systems, describing the elements required for their implementation and adoption, and proposing new research areas to address the major research gaps. This work aims to motivate the scientific community at the intersection of agriculture, environmental science, data science, digital technologies, and computer science to work toward the development and application of recommender systems to support crop variety decision‐making. Core Ideas There is very little research on crop variety recommender systems. Potential applications of recommender systems for crop variety recommendations are proposed. Research gaps and challenges in recommender systems for crop varieties were identified. Digital crop variety catalogs are fundamental for crop variety recommender systems. Plain Language Summary Due to scarce supporting information, farmers often face the decision of what crop variety to plant with high uncertainty about the potential outcomes. Recommender systems are systems designed to support users in choosing a product or service from a given set of options. While recommender systems have been extensively applied to e‐commerce platforms and streaming services, their application to agricultural activities has been limited, and even more so in the case of recommendations of crop varieties. The purpose of this commentary is to provide a motivating perspective to increase the research activities around the application of recommender systems to crop variety decision‐making. After reviewing related literature, it is evident that the amount of research conducted applying recommender systems to crop variety decision‐making is very low and that one of the main elements required is the development of crop variety catalogs.
Publisher
John Wiley & Sons, Inc,Wiley