制定政策,促进采用数字化植物卫生技术,实现可持续性:安达卢西亚橄榄行业的案例

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-10-10 DOI:10.1016/j.agsy.2024.104147
Carlos Parra-López , Liliana Reina-Usuga , Guillermo Garcia-Garcia , Carmen Carmona-Torres
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引用次数: 0

摘要

CONTEXTDigital phytosanitation 是农业 4.0 革命的前沿,它利用数字技术和数据驱动方法进行有效的病虫害管理。然而,这些进步面临着技术、经济和实施方面的挑战,如成本、基础设施要求和缺乏直接经济回报。在橄榄行业,数字技术对威胁监测和病虫害管理至关重要,有助于提高质量和可持续性,但其采用速度缓慢,尤其是在地中海等传统农业地区。目的本文研究了世界领先的橄榄产区安达卢西亚橄榄行业采用数字植物检疫系统(DPS)的情况,重点是使用采用和传播结果预测工具(ADOPT)预测采用率,并确定影响传播过程的敏感因素。该手稿调整了 ADOPT 模型,以预测安达卢西亚橄榄行业对 DPS 的采用情况,并提出了促进可持续农业数字化转型的政策建议。该模型根据 DPS 的相对优势和可学习性以及人口的学习能力等因素,评估采用的峰值水平和达到峰值的时间。该模型的评估基于来自不同部门的专家/利益相关者的知识,包括研究与开发机构、公共管理部门和橄榄种植园/合作社。研究提出了促进采用 DPS 的针对性政策,涉及环境效益、可扩展性、盈利能力、易于集成、降低风险、提高技能、试点项目、技术简化、专业建议和融资方案。这些战略旨在加快 DPS 的采用,从而提高橄榄行业的生产率、竞争力和环境可持续性。意义欧盟农药监管的近期事件凸显了利益相关者参与的极端重要性,以及平衡技术进步与监管框架的必要性,强调 DPS 的成功采用不仅是技术能力的问题,也是与监管决策和更广泛的可持续农业目标保持一致的问题。在此背景下,本研究有助于了解农业数字化转型的动态,并为可持续农业实践的政策制定提供信息。如果实施得当,数字化植物净化可以成为实现全球农业可持续发展的一个步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Designing policies to promote the adoption of digital phytosanitation towards sustainability: The case of the olive sector in Andalusia

CONTEXT

Digital phytosanitation is at the forefront of the Agriculture 4.0 revolution, using digital technologies and data-driven approaches for effective pest and disease management. However, these advances face technical, economic and implementation challenges such as cost, infrastructure requirements and lack of immediate economic returns. In the olive sector, digital technologies are essential for threat monitoring and pest management, contributing to quality and sustainability, but their adoption is slow, especially in traditional agricultural regions such as the Mediterranean.

OBJECTIVE

This article examines the adoption of digital phytosanitary systems (DPS) in the Andalusian olive sector, the world's leading olive producing region, focusing on the use of the Adoption and Diffusion Outcome Prediction Tool (ADOPT) to predict adoption rates and identify sensitive factors affecting the diffusion process. The manuscript adapts the ADOPT model to predict DPS adoption in the Andalusian olive sector and proposes policy recommendations to facilitate the digital transformation towards sustainable agriculture.

METHODS

The ADOPT model is tailored to predict the adoption and diffusion of DPS in the Andalusian olive sector. It assesses the peak level of adoption and the time to peak based on factors such as the relative advantage and learnability of DPS, as well as the learning capacity of the population. The assessment of the model was based on the knowledge of experts/stakeholders from different sectors, including R&D&I organisations, public administration and olive farms/cooperatives.

RESULTS AND CONCLUSIONS

The results predict a slow and moderate diffusion of DPS, with ‘technology promoters’ such as R&D&I organisations and public administration being more optimistic than ‘technology implementers’ such as olive farms/cooperatives. The study proposes targeted policies to promote DPS adoption, addressing environmental benefits, scalability, profitability, ease of integration, risk mitigation, skills improvement, pilot projects, technology simplification, professional advice and financing options. These strategies aim to accelerate the adoption of DPS, thereby promoting higher productivity, competitiveness and environmental sustainability in the olive sector.

SIGNIFICANCE

Recent events in EU pesticide regulation highlight the critical importance of stakeholder engagement and the need to balance technological progress with regulatory frameworks, emphasising that the success of DPS adoption is not only a matter of technological capability, but also of alignment with regulatory decisions and the broader goal of sustainable agriculture. In this context, this research contributes to understanding the dynamics of digital transformation in agriculture and informs policy-making for sustainable agricultural practices. Digital phytosanitation, if properly implemented, can be a step towards global agricultural sustainability.
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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