Evolution of precision agricultural technologies: a patent network analysis
Innovations in precision agriculture continue to increase in both number and significance. Contemporaneously, given their expanding scope and application, the growing pool of technologies is increasingly complex. Although some recent attempts have been made, a knowledge gap remains in respect to the...
| Main Authors: | , , , , , |
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| Format: | Article |
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Springer
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/105633/ |
| _version_ | 1848864565376319488 |
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| author | Tey, Yeong Sheng Brindal, Mark Wong, Seng Yee Ardiansyah Ibragimov, Abdulla Yusop, Mohd Rafii |
| author_facet | Tey, Yeong Sheng Brindal, Mark Wong, Seng Yee Ardiansyah Ibragimov, Abdulla Yusop, Mohd Rafii |
| author_sort | Tey, Yeong Sheng |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Innovations in precision agriculture continue to increase in both number and significance. Contemporaneously, given their expanding scope and application, the growing pool of technologies is increasingly complex. Although some recent attempts have been made, a knowledge gap remains in respect to the evolution of precision agricultural innovation. Synthesized, such knowledge should inform the untapped opportunities for innovation. This paper narrows this gap by conducting a network analysis of patent applications in areas concerning precision agriculture. Spanning the years from 1960 to 2021, the analysis shows an annual average growth in patent applications of 15.1. During the last decade, this growth is almost entirely attributable to China and the USA. Priority innovation themes have been dynamic. Its phases can be characterized as ‘motorized mechanization’ (1960–1999), ‘mechanical automation’ (2000–2009), ‘digital mechanization’ (2010–2019), and ‘digital automation’ (2020–2021). The significance of information communication technology has grown in association with other innovation clusters, but a lag time has persisted in introducing innovations based on such technologies. Opportunities are ripe for speeding transference through economic and other incentives. |
| first_indexed | 2025-11-15T13:50:50Z |
| format | Article |
| id | upm-105633 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:50:50Z |
| publishDate | 2024 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1056332024-05-15T02:35:39Z http://psasir.upm.edu.my/id/eprint/105633/ Evolution of precision agricultural technologies: a patent network analysis Tey, Yeong Sheng Brindal, Mark Wong, Seng Yee Ardiansyah Ibragimov, Abdulla Yusop, Mohd Rafii Innovations in precision agriculture continue to increase in both number and significance. Contemporaneously, given their expanding scope and application, the growing pool of technologies is increasingly complex. Although some recent attempts have been made, a knowledge gap remains in respect to the evolution of precision agricultural innovation. Synthesized, such knowledge should inform the untapped opportunities for innovation. This paper narrows this gap by conducting a network analysis of patent applications in areas concerning precision agriculture. Spanning the years from 1960 to 2021, the analysis shows an annual average growth in patent applications of 15.1. During the last decade, this growth is almost entirely attributable to China and the USA. Priority innovation themes have been dynamic. Its phases can be characterized as ‘motorized mechanization’ (1960–1999), ‘mechanical automation’ (2000–2009), ‘digital mechanization’ (2010–2019), and ‘digital automation’ (2020–2021). The significance of information communication technology has grown in association with other innovation clusters, but a lag time has persisted in introducing innovations based on such technologies. Opportunities are ripe for speeding transference through economic and other incentives. Springer 2024-09 Article PeerReviewed Tey, Yeong Sheng and Brindal, Mark and Wong, Seng Yee and Ardiansyah and Ibragimov, Abdulla and Yusop, Mohd Rafii (2024) Evolution of precision agricultural technologies: a patent network analysis. Precision Agriculture, 25 (1). 376 -395. ISSN 1385-2256; ESSN: 1573-1618 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171805054&doi=10.1007%2fs11119-023-10076-y&partnerID=40&md5=b9d5369e5f346cbabfeb15a1f60a3374 10.1007/s11119-023-10076-y |
| spellingShingle | Tey, Yeong Sheng Brindal, Mark Wong, Seng Yee Ardiansyah Ibragimov, Abdulla Yusop, Mohd Rafii Evolution of precision agricultural technologies: a patent network analysis |
| title | Evolution of precision agricultural technologies: a patent network analysis |
| title_full | Evolution of precision agricultural technologies: a patent network analysis |
| title_fullStr | Evolution of precision agricultural technologies: a patent network analysis |
| title_full_unstemmed | Evolution of precision agricultural technologies: a patent network analysis |
| title_short | Evolution of precision agricultural technologies: a patent network analysis |
| title_sort | evolution of precision agricultural technologies: a patent network analysis |
| url | http://psasir.upm.edu.my/id/eprint/105633/ http://psasir.upm.edu.my/id/eprint/105633/ http://psasir.upm.edu.my/id/eprint/105633/ |