Economics and barriers of precision viticulture technologies: A comprehensive systematic literature review

IF 7.4 Q1 AGRICULTURE, MULTIDISCIPLINARY
Information Processing in Agriculture Pub Date : 2025-12-01 Epub Date: 2025-04-11 DOI:10.1016/j.inpa.2025.04.001
Antonino GALATI, Serena SOFIA, Maria CRESCIMANNO
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引用次数: 0

Abstract

Precision farming technologies are revolutionising the wine-growing sector thanks to their ability to manage crop variability, increase economic benefits, reduce the environmental impact, and improve grape yields and quality. Most earlier studies focused on the effects of precision technology adoption on plant health and canopy development—and therefore grape quality—neglecting the profitability impact. This study aims to fill this gap by presenting a systematic literature analysis discussing advancements in the economics of precision viticulture technologies. The results show how technologies such as unmanned aerial vehicles, precision irrigation, and robotics can increase efficiency in resource management, helping to reduce costs and improve vineyard profitability. However, the findings also emphasise the need for tailored approaches to integrate these advances. Furthermore, the analysis highlights the main barriers related to the cost of adopting precision technologies and the skills required to read and interpret the data. The results of this study hold interest to academics, vine growers, and farmers, providing a basis for future research into the cost-effectiveness of adopting precision technologies.
精准葡萄栽培技术的经济与障碍:全面系统的文献综述
精准农业技术正在彻底改变葡萄酒种植行业,因为它们能够管理作物的变化,增加经济效益,减少对环境的影响,提高葡萄产量和质量。大多数早期的研究都集中在采用精密技术对植物健康和冠层发育的影响上,从而忽略了对盈利能力的影响。本研究旨在填补这一空白,提出了一个系统的文献分析,讨论经济的进步,精密葡萄栽培技术。研究结果表明,无人机、精准灌溉和机器人技术等技术可以提高资源管理效率,帮助降低成本,提高葡萄园的盈利能力。然而,研究结果也强调需要有针对性的方法来整合这些进步。此外,分析强调了与采用精密技术的成本和阅读和解释数据所需的技能有关的主要障碍。这项研究的结果引起了学术界、葡萄种植者和农民的兴趣,为未来研究采用精密技术的成本效益提供了基础。
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来源期刊
Information Processing in Agriculture
Information Processing in Agriculture Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
21.10
自引率
0.00%
发文量
80
期刊介绍: Information Processing in Agriculture (IPA) was established in 2013 and it encourages the development towards a science and technology of information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from the information processing technologies in the agriculture; • Illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture; • Provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing worldwide; • Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professionals and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture; • Create and promote expert groups for development of agro-meteorological databases, crop and livestock modelling and applications for development of crop performance based decision support system. Topics of interest include, but are not limited to: • Smart Sensor and Wireless Sensor Network • Remote Sensing • Simulation, Optimization, Modeling and Automatic Control • Decision Support Systems, Intelligent Systems and Artificial Intelligence • Computer Vision and Image Processing • Inspection and Traceability for Food Quality • Precision Agriculture and Intelligent Instrument • The Internet of Things and Cloud Computing • Big Data and Data Mining
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