Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review.
Saved in:
| Title: | Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review. |
|---|---|
| Authors: | Mesías-Ruiz GA; Institute of Agricultural Sciences (ICA), Spanish National Research Council (CSIC), Madrid, Spain.; Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas (ETSIAAB), Universidad Politécnica de Madrid, Madrid, Spain., Pérez-Ortiz M; Centre for Artificial Intelligence, University College London, London, United Kingdom., Dorado J; Institute of Agricultural Sciences (ICA), Spanish National Research Council (CSIC), Madrid, Spain., de Castro AI; Environment and Agronomy Department, National Institute for Agricultural and Food Research and Technology (INIA), Spanish National Research Council (CSIC), Madrid, Spain., Peña JM; Institute of Agricultural Sciences (ICA), Spanish National Research Council (CSIC), Madrid, Spain. |
| Source: | Frontiers in plant science [Front Plant Sci] 2023 Mar 22; Vol. 14, pp. 1143326. Date of Electronic Publication: 2023 Mar 22 (Print Publication: 2023). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101568200 Publication Model: eCollection Cited Medium: Print ISSN: 1664-462X (Print) Linking ISSN: 1664462X NLM ISO Abbreviation: Front Plant Sci Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1664-462X |
|---|---|
| DOI: | 10.3389/fpls.2023.1143326 |
