Carlos Parra-López , Liliana Reina-Usuga , Guillermo Garcia-Garcia , Carmen Carmona-Torres
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引用次数: 0
Abstract
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.
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.