Abstract
Advanced digital technologies are rapidly permeating agriculture from laboratory to field. Machine-based breeding, robotics and big data technologies have deeply transformed not only production systems but also the way scientific research is conducted. How are digital applications revolutionizing people’s jobs and skills? What are the challenges and opportunities for managing and sharing agricultural big data? This article addresses these and other questions by surveying international experts in plant biotechnology. Results show that digital innovations in the form of decision-support tools are perceived as promising. Most surveyed experts anticipate the deployment of big data analytics and artificial intelligence to boost agricultural productivity. Another key finding is that substantial physical investment, specialized human capital and effective data governance are critical to successful implementation of technological innovations associated with big data.
Highlights
Technological advances in their scale and breadth are revolutionizing entire production systems, their management, and policy making and governance of all economic activities.The agri-food sector, like other industries, is becoming increasingly data-driven and dataenabled
Most respondents think that the deployment of big data analytics and artificial intelligence will make a positive contribution to agricultural productivity, but these benefits may, for a time, only enhance welfare in developed countries
Experts think that successful applications of Artificial Intelligence (AI) and big data will require substantial physical, human and institutional capital investments
Summary
The agri-food sector, like other industries, is becoming increasingly data-driven and dataenabled. Technologies that have enabled precision agriculture to flourish, have paved the way for management practices that use farm inputs more efficiently, optimizing agricultural output [4]. Digital innovations (e.g., digital data collection, increased storage and computational capacity, high-resolution of environmental and remotely sensed data) contribute to many agricultural improvements. In this questionnaire, we would like to learn whether and how experts are coping with and adapting to the use of big data and artificial intelligence in the agri-food sector. Do you or does your organization collect and/or analyze
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