Recent digital innovations provide opportunities to deliver better policies for the agriculture sector by helping to overcome information gaps and asymmetries, lower policy-related transaction costs, and enable people with different preferences and incentives to work better together. Drawing on ten illustrative case studies and unique new data gathered via an OECD questionnaire on agri-environmental policy organisations' experiences with digital tools, this report explores opportunities to improve current agricultural and agri-environmental policies, and to deliver new, digitally enabled and information-rich policy approaches.

Recent digital innovations provide opportunities to deliver better policies for the agriculture sector by helping to overcome information gaps and asymmetries, lower policy-related transaction costs, and enable people with different preferences and incentives to work better together. Drawing on ten illustrative case studies and unique new data gathered via an OECD questionnaire on agri-environmental policy organisations' experiences with digital tools, this report explores opportunities to improve current agricultural and agri-environmental policies, and to deliver new, digitally enabled and information-rich policy approaches. It also considers challenges that organisations may face to make greater use of digital tools for policy, as well as new risks which increased use of digital tools may bring. The report provides practical advice on how policy makers can address challenges and mitigate risks to ensure digital opportunities for policy are realised in practice. Finally, the report briefly considers the broader regulatory and policy environment underpinning digitalisation of the agriculture sector, with the view to ensuring that use of digital tools for agricultural and agri-environmental policy remains coherent with the digitalisation of agriculture more generally.

The digital agriculture revolution holds a promise to build an agriculture and food system that is efficient, environmentally sustainable, and equitable, one that can help deliver the Sustainable Development Goals. Unlike past technological revolutions in agriculture, which began on farms, the current revolution is being sparked at multiple points along the agrifood value chain. The change is driven by the ability to collect, use, and analyze massive amounts of machine-readable data about practically every aspect of the value chain, and by the emergence of digital platforms disrupting existing business models. All this allows for drastically reduced transaction costs and pervasive information asymmetries that plague the agrifood system. The success of the digital transformation, however, is not guaranteed as the risks it brings are numerous, including those related to data governance and inadequate competition within and between digital platforms. What’s Cooking: Digital Transformation of the Agrifood System investigates how digital technologies can accelerate the transformation of the agrifood system by increasing efficiency on the farm; improving farmers’ access to output, input, and financial markets; strengthening quality control and traceability; and improving the design and delivery of agriculture policies. It also identifies a key role for the public sector in maximizing the benefits of this process while minimizing its risks, through enabling an innovation ecosystem featuring open datasets, digital platforms, digital entrepreneurship, digital payment systems, and digital skills and encouraging equitable technology adoption.

THE DIGITAL AGRICULTURAL REVOLUTION The book integrates computational intelligence, applied artificial intelligence, and modern agricultural practices and will appeal to scientists, agriculturists, and those in plant and crop science management. There is a need for synergy between the application of modern scientific innovation in the area of artificial intelligence and agriculture, considering the major challenges from climate change consequences viz. rising temperatures, erratic rainfall patterns, the emergence of new crop pests, drought, flood, etc. This volume reports on high-quality research (theory and practice including prototype & conceptualization of ideas, frameworks, real-world applications, policy, standards, psychological concerns, case studies, and critical surveys) on recent advances toward the realization of the digital agriculture revolution as a result of the convergence of different disruptive technologies. The book touches upon the following topics which have contributed to revolutionizing agricultural practices. Applications of Artificial Intelligence in Agriculture (AI models and architectures, system design, real-world applications of AI, machine learning and deep learning in the agriculture domain, integration & coordination of systems and issues & challenges). IoT and Big Data Analytics Applications in Agriculture (theory & architecture and the use of various types of sensors in optimizing agriculture resources and final product, benefits in real-time for crop acreage estimation, monitoring & control of agricultural produce). Robotics & Automation in Agriculture Systems (Automation challenges, need and recent developments and real case studies). Intelligent and Innovative Smart Agriculture Applications (use of hybrid intelligence in better crop health and management). Privacy, Security, and Trust in Digital Agriculture (government framework & policy papers). Open Problems, Challenges, and Future Trends. Audience Researchers in computer science, artificial intelligence, electronics engineering, agriculture automation, crop management, and science.

This annual report monitors and evaluates agricultural policies spanning all six continents, including the 36 OECD countries, the five non-OECD EU Member States, and 13 emerging economies.