Over the past decades, the interest in Precision Agriculture (PA) has increased in most developed countries. The adoption of new technologies in agriculture is complex. PA improves efficiency, product quality, the rational use of chemicals and biological resources, and the preservation of the environment. Because of the need to invest in technology for sustainability and profitability, the sector becomes increasingly data driven. However, this data becomes valuable and strategic only if effectively managed. This study, through a critical literature review on selected topics, sheds light on PA’s information potential for farms’ managerial processes. It investigates the impact of PA on profitability, the features of farmers’ decision making, and the specificities of Decision Support Systems for agribusinesses. Given the sector characteristics, the discussion of findings leads to the identification of aspects that should be carefully considered when designing an information system for new-generation agricultural companies. Considering the limited amount of previous research on the decision-making process in farming and the challenges posed by the use of technology, the authors believe that this study could assist researchers, practitioners, and farmers interested in increasing their knowledge of the issue.

Unbundling the information needs of new-generation agricultural companies

Macchia, Silvia
2022

Abstract

Over the past decades, the interest in Precision Agriculture (PA) has increased in most developed countries. The adoption of new technologies in agriculture is complex. PA improves efficiency, product quality, the rational use of chemicals and biological resources, and the preservation of the environment. Because of the need to invest in technology for sustainability and profitability, the sector becomes increasingly data driven. However, this data becomes valuable and strategic only if effectively managed. This study, through a critical literature review on selected topics, sheds light on PA’s information potential for farms’ managerial processes. It investigates the impact of PA on profitability, the features of farmers’ decision making, and the specificities of Decision Support Systems for agribusinesses. Given the sector characteristics, the discussion of findings leads to the identification of aspects that should be carefully considered when designing an information system for new-generation agricultural companies. Considering the limited amount of previous research on the decision-making process in farming and the challenges posed by the use of technology, the authors believe that this study could assist researchers, practitioners, and farmers interested in increasing their knowledge of the issue.
Agritech; Precision agriculture; Decision support systems; Integrated information management; Farm management extension
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11584/343356
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