@article{Ceccarelli:330811,
      recid = {330811},
      author = {Ceccarelli, Tomaso and Chauhan, Aneesh and Rambaldi,  Giacomo and Kumar, Inder and Cappello, Christina and  Janssen, Sander and McCampbell, Mariette},
      title = {Leveraging automation and digitalization for precision  agriculture: Evidence from the case studies},
      address = {2022-11-15},
      number = {2143-2023-304},
      series = {Background paper for The State of Food and Agriculture  2022. FAO Agricultural Development Economics Technical  Study No. 24},
      pages = {120 p.},
      month = {Nov},
      year = {2022},
      note = {FAO Document Repository: <a  href="https://doi.org/10.4060/cc2912en">https://doi.org/10.4060/cc2912en</a>},
      abstract = {Digital and automation solutions for precision agriculture  can improve efficiency, productivity, product quality and  sustainability. Nevertheless, barriers to adoption of such  solutions – including their cost, lack of knowledge and  skills, and the absence of an enabling environment and  infrastructure – can prevent producers from realizing these  benefits. Building on findings from 22 case studies  worldwide, this study finds that national data policies and  infrastructure are key enablers of adoption, as is  investment in connectivity (e.g. internet) and electricity  in rural areas. Further research and information on the  economic, environmental and social impacts of the solutions  are also needed to provide evidence on their benefits. So  too is investment in human capacity development,  particularly digital literacy. To ensure an inclusive  process, solutions must be adapted across agricultural  production systems, regions and farm types. Partnerships  and networks for exchanging information and promoting  collaboration will key. Finally, awareness raising and  communication are important since consumers can be  skeptical about food being produced by new technologies. In  summary, by focusing on a variety of solutions, this study  provides a landscape analysis of digital and automation  solutions and offers guidance to accelerate adoption for  more inclusive, sustainable and resilient agrifood systems.  This study was developed as a background document for the  FAO report "The State of Food and Agriculture 2022 –  Leveraging automation in agriculture for transforming  agrifood systems" (https://doi.org/10.4060/cb9479en).},
      url = {http://ageconsearch.umn.edu/record/330811},
      doi = {https://doi.org/10.22004/ag.econ.330811},
}