Leveraging automation and digitalization for precision agriculture: evidence from the case studies :: background paper for The State of Food and Agriculture 2022 /
Digital and automation solutions for precision agriculture can improve efficiency, productivity, product quality and sustainability.
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Rome :
Food and Agriculture Organization of the United Nations,
2022.
|
| Schriftenreihe: | FAO Agricultural Development Economics Technical Study,
no. 24 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (PDF, 106 pages) : illustrations. |
| ISBN: | 925137192X 9789251371923 |
| ISSN: | 2521-7259 ; |
Internformat
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| 100 | 1 | |a Ceccarelli, Tomaso, |d 1960- |e author. |0 http://id.loc.gov/authorities/names/nb97087590 | |
| 245 | 0 | 0 | |a Leveraging automation and digitalization for precision agriculture: evidence from the case studies : |b background paper for The State of Food and Agriculture 2022 / |c by Tomaso Ceccarelli, Aneesh Chauhan, Giacomo Rambaldi, Inder Kumar, Christina Cappello, Sander Janssen, Mariette McCampbell |
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| 520 | 3 | |a Digital and automation solutions for precision agriculture can improve efficiency, productivity, product quality and sustainability. | |
| 520 | 3 | |a 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. | |
| 520 | 3 | |a 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. | |
| 520 | 3 | |a internet) and electricity in rural areas. | |
| 520 | 3 | |a Further research and information on the economic, environmental and social impacts of the solutions are also needed to provide evidence on their benefits. | |
| 520 | 3 | |a So too is investment in human capacity development, particularly digital literacy. | |
| 520 | 3 | |a To ensure an inclusive process, solutions must be adapted across agricultural production systems, regions and farm types. | |
| 520 | 3 | |a Partnerships and networks for exchanging information and promoting collaboration will key. | |
| 520 | 3 | |a Finally, awareness raising and communication are important since consumers can be skeptical about food being produced by new technologies. | |
| 520 | 3 | |a 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. | |
| 650 | 0 | |a Precision farming. |0 http://id.loc.gov/authorities/subjects/sh94009645 | |
| 650 | 0 | |a Agricultural industries |x Automation. | |
| 650 | 0 | |a Agricultural informatics. |0 http://id.loc.gov/authorities/subjects/sh97004947 | |
| 650 | 6 | |a Agriculture de précision. | |
| 650 | 6 | |a Industries agricoles |x Automatisation. | |
| 650 | 6 | |a Agriculture |x Informatique. | |
| 700 | 1 | |a Chauhan, Aneesh, |e author. |4 aut |0 http://id.loc.gov/authorities/names/no2023007749 | |
| 700 | 1 | |a Rambaldi, Giacomo, |e author. |4 aut |0 http://id.loc.gov/authorities/names/n2007078334 | |
| 700 | 1 | |a Kumar, Inder, |e author. |4 aut |0 http://id.loc.gov/authorities/names/no2023007762 | |
| 700 | 1 | |a Cappello, Christina, |e author. |4 aut |0 http://id.loc.gov/authorities/names/no2023007801 | |
| 700 | 1 | |a Janssen, Sander, |e author. |4 aut |0 http://id.loc.gov/authorities/names/no2023007824 | |
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| author | Ceccarelli, Tomaso, 1960- Chauhan, Aneesh Rambaldi, Giacomo Kumar, Inder Cappello, Christina Janssen, Sander McCampbell, Mariette |
| author_GND | http://id.loc.gov/authorities/names/nb97087590 http://id.loc.gov/authorities/names/no2023007749 http://id.loc.gov/authorities/names/n2007078334 http://id.loc.gov/authorities/names/no2023007762 http://id.loc.gov/authorities/names/no2023007801 http://id.loc.gov/authorities/names/no2023007824 |
| author_facet | Ceccarelli, Tomaso, 1960- Chauhan, Aneesh Rambaldi, Giacomo Kumar, Inder Cappello, Christina Janssen, Sander McCampbell, Mariette |
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| discipline | Agrar-/Forst-/Ernährungs-/Haushaltswissenschaft / Gartenbau |
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| id | ZDB-4-EBA-on1356718817 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:30:40Z |
| institution | BVB |
| isbn | 925137192X 9789251371923 |
| issn | 2521-7259 ; |
| language | English |
| oclc_num | 1356718817 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (PDF, 106 pages) : illustrations. |
| psigel | ZDB-4-EBA |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Food and Agriculture Organization of the United Nations, |
| record_format | marc |
| series2 | FAO Agricultural Development Economics Technical Study, |
| spelling | Ceccarelli, Tomaso, 1960- author. http://id.loc.gov/authorities/names/nb97087590 Leveraging automation and digitalization for precision agriculture: evidence from the case studies : background paper for The State of Food and Agriculture 2022 / by Tomaso Ceccarelli, Aneesh Chauhan, Giacomo Rambaldi, Inder Kumar, Christina Cappello, Sander Janssen, Mariette McCampbell Rome : Food and Agriculture Organization of the United Nations, 2022. 1 online resource (PDF, 106 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier FAO Agricultural Development Economics Technical Study, 2521-7259 ; no. 24 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. Precision farming. http://id.loc.gov/authorities/subjects/sh94009645 Agricultural industries Automation. Agricultural informatics. http://id.loc.gov/authorities/subjects/sh97004947 Agriculture de précision. Industries agricoles Automatisation. Agriculture Informatique. Chauhan, Aneesh, author. aut http://id.loc.gov/authorities/names/no2023007749 Rambaldi, Giacomo, author. aut http://id.loc.gov/authorities/names/n2007078334 Kumar, Inder, author. aut http://id.loc.gov/authorities/names/no2023007762 Cappello, Christina, author. aut http://id.loc.gov/authorities/names/no2023007801 Janssen, Sander, author. aut http://id.loc.gov/authorities/names/no2023007824 McCampbell, Mariette author aut FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3582677 Volltext |
| spellingShingle | Ceccarelli, Tomaso, 1960- Chauhan, Aneesh Rambaldi, Giacomo Kumar, Inder Cappello, Christina Janssen, Sander McCampbell, Mariette Leveraging automation and digitalization for precision agriculture: evidence from the case studies : background paper for The State of Food and Agriculture 2022 / Precision farming. http://id.loc.gov/authorities/subjects/sh94009645 Agricultural industries Automation. Agricultural informatics. http://id.loc.gov/authorities/subjects/sh97004947 Agriculture de précision. Industries agricoles Automatisation. Agriculture Informatique. |
| subject_GND | http://id.loc.gov/authorities/subjects/sh94009645 http://id.loc.gov/authorities/subjects/sh97004947 |
| title | Leveraging automation and digitalization for precision agriculture: evidence from the case studies : background paper for The State of Food and Agriculture 2022 / |
| title_auth | Leveraging automation and digitalization for precision agriculture: evidence from the case studies : background paper for The State of Food and Agriculture 2022 / |
| title_exact_search | Leveraging automation and digitalization for precision agriculture: evidence from the case studies : background paper for The State of Food and Agriculture 2022 / |
| title_full | Leveraging automation and digitalization for precision agriculture: evidence from the case studies : background paper for The State of Food and Agriculture 2022 / by Tomaso Ceccarelli, Aneesh Chauhan, Giacomo Rambaldi, Inder Kumar, Christina Cappello, Sander Janssen, Mariette McCampbell |
| title_fullStr | Leveraging automation and digitalization for precision agriculture: evidence from the case studies : background paper for The State of Food and Agriculture 2022 / by Tomaso Ceccarelli, Aneesh Chauhan, Giacomo Rambaldi, Inder Kumar, Christina Cappello, Sander Janssen, Mariette McCampbell |
| title_full_unstemmed | Leveraging automation and digitalization for precision agriculture: evidence from the case studies : background paper for The State of Food and Agriculture 2022 / by Tomaso Ceccarelli, Aneesh Chauhan, Giacomo Rambaldi, Inder Kumar, Christina Cappello, Sander Janssen, Mariette McCampbell |
| title_short | Leveraging automation and digitalization for precision agriculture: evidence from the case studies : |
| title_sort | leveraging automation and digitalization for precision agriculture evidence from the case studies background paper for the state of food and agriculture 2022 |
| title_sub | background paper for The State of Food and Agriculture 2022 / |
| topic | Precision farming. http://id.loc.gov/authorities/subjects/sh94009645 Agricultural industries Automation. Agricultural informatics. http://id.loc.gov/authorities/subjects/sh97004947 Agriculture de précision. Industries agricoles Automatisation. Agriculture Informatique. |
| topic_facet | Precision farming. Agricultural industries Automation. Agricultural informatics. Agriculture de précision. Industries agricoles Automatisation. Agriculture Informatique. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3582677 |
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