| _version_ | 1866902337615822848 |
|---|---|
| author | Sharp, Richard Chaplin-Kramer, Rebecca Liu, Lingling |
| author_facet | Sharp, Richard Chaplin-Kramer, Rebecca Liu, Lingling |
| contents | <p>The Pest Control Living Database (PCLD) is a USDA-funded initiative (<a href="https://portal.nifa.usda.gov/web/crisprojectpages/1023888-fact-cyber-infrastructure-for-landscape-impacts-on-biocontrol.html" rel="nofollow">project #1023888</a>) that integrates agricultural pest observation data, biological traits of insects, and satellite-based Earth observation resources into a comprehensive, interactive data resource. Designed to streamline data-driven analysis for agricultural pest management, PCLD enables scientists, researchers, and growers to leverage data science and remote sensing technologies to predict pest dynamics, ultimately guiding agricultural decision-making and stewardship worldwide.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18038554 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Pest Control Living Database Sharp, Richard Chaplin-Kramer, Rebecca Liu, Lingling <p>The Pest Control Living Database (PCLD) is a USDA-funded initiative (<a href="https://portal.nifa.usda.gov/web/crisprojectpages/1023888-fact-cyber-infrastructure-for-landscape-impacts-on-biocontrol.html" rel="nofollow">project #1023888</a>) that integrates agricultural pest observation data, biological traits of insects, and satellite-based Earth observation resources into a comprehensive, interactive data resource. Designed to streamline data-driven analysis for agricultural pest management, PCLD enables scientists, researchers, and growers to leverage data science and remote sensing technologies to predict pest dynamics, ultimately guiding agricultural decision-making and stewardship worldwide.</p> |
| title | Pest Control Living Database |
| url | https://doi.org/10.5281/zenodo.18038554 |