Machine learning and artificial intelligence for agricultural economics : prognostic data analytics to serve small scale farmers worldwide
Chandrasekar Vuppalapati
| Year of publication: |
[2022]
|
|---|---|
| Authors: | Vuppalapati, Chandrasekar |
| Publisher: |
Cham, Switzerland : Springer |
| Subject: | Landwirtschaft | Agriculture | Künstliche Intelligenz | Artificial intelligence | Agrarpolitik | Agricultural policy | Kleinbauern | Smallholders | Welt | World |
| Series: | International series in operations research & management science. - Cham, Switzerland : Springer, ISSN 0884-8289, ZDB-ID 1445981-4. - Vol. volume 314 |
|---|---|
| Type of publication: | Book / Working Paper |
| Language: | English |
| ISBN: | 978-3-030-77484-4 ; 978-3-030-77485-1 |
| Other identifiers: | 10.1007/978-3-030-77485-1 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012585558