Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction

Digitalization in the meat chain

“…smart farming & agriculture 4.0) has potential to transform food animal farming systems to become more sustainable by reducing the use of antimicrobials (thus preventing the emergence of antimicrobial resistance, AMR), promoting animal health and welfare, and creating conditions for achieving sufficient supplies of good quality and safe food. Having in mind that global agri-food systems are already facing challenges regarding the increasing demand for animal protein, the process of digitalization of livestock farming can have a beneficial impact by optimizing and increasing overall productivity in a sustainable manner without further pollution of soil, water and other agro-ecological systems, as well as improving resilience and adaptation of the food system to climate change (Cole et al, 2018;Shang et al, 2021).…”

“…The adoption behavior is multidimensional and depends not only on farmers but also on the technical, structural, political and economic conditions of the agri-food chain; the adoption of digital farming can also evolve over time, based on the behavior of farmers and their interactions with the legislative, commercial and political environment (Alexander et al, 2013;Shang et al, 2021). The most important factors influencing the adoption of digital farming technologies are defined in 6 groups (Shang et al, 2021): (I) farm characteristics (farm size, biophysical conditions, livestock ownership, land use, labor availability, farm succession); (II) operator characteristics (education, age, farming as a main occupation, income, computer use, farming experience, innovativeness, knowledge & capacity, risk preference); (III) interactions (consultants, extensions, farmers' associations, technology providers, trade shows, workshops, information sources); (IV) institutions (subsidy/credit, legislation); (V) attributes of technology (relative advantage -perceived usefulness, complexity -ease of use, compatibility, data safety, trialability, observability); (VI) psychological factors (attitude, subjective norm, perceived behavioral control). The most significant factors influencing the adoption of digital farming include: farm size and biophysical condition, level of education and age of farmers, quality of interaction with consultants and extension services, availability of subsidies and credits, usefulness and ease of use of the technology, and farmers' attitude (Shang et al, 2021).…”

A review of the applicability of the Motivations and Abilities (MOTA) framework for assessing the implementation success of water resources management plans and policies

“…The theory depicts a five-stage innovation-decision process through which decisions makers pass as they overcome uncertainty and gain knowledge of an (Rogers, 2010). In this regard, Shang et al, (2021) synthesised how perceptions towards the relative advantage, ease of use, compatibility and trialability are often identified as critical factors which impact the adoption of digital technologies within farming systems. These factors are likely to play a key role in helping policy makers to understand actor how/why different actors are more or less motivated to undertake particular actions, and their perceptions towards potential project opportunities and threats (Fig.…”

Advanced method of managing soil conservation works in Smart Farms

“…The declining availability of agricultural land, ecological losses and environmental degradation are leading to the adoption and diffusion of digital agricultural technologies that contribute to the transformation of current agricultural systems towards sustainability [2], [3], [4], [5].…”