Načítá se...
Site-specific machine learning predictive fertilization models for potato crops in Eastern Canada
Statistical modeling is commonly used to relate the performance of potato (Solanum tuberosum L.) to fertilizer requirements. Prescribing optimal nutrient doses is challenging because of the involvement of many variables including weather, soils, land management, genotypes, and severity of pests and...
Uloženo v:
| Vydáno v: | PLoS One |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2020
|
| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7413527/ https://ncbi.nlm.nih.gov/pubmed/32764750 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0230888 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|