Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy.
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| Title: | Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy. |
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| Authors: | Silva JV; Sustainable Agrifood Systems, CIMMYT, Harare, Zimbabwe.; Plant Production Systems, Wageningen University, Wageningen, the Netherlands., Heerwaarden JV; Plant Production Systems, Wageningen University, Wageningen, the Netherlands., Reidsma P; Plant Production Systems, Wageningen University, Wageningen, the Netherlands., Laborte AG; Sustainable Impact Department, IRRI, Los Baños, the Philippines., Tesfaye K; Sustainable Agrifood Systems, CIMMYT, Addis Ababa, Ethiopia., Ittersum MKV; Plant Production Systems, Wageningen University, Wageningen, the Netherlands. |
| Source: | Field crops research [Field Crops Res] 2023 Oct 15; Vol. 302, pp. 109063. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Scientific Pub. Co Country of Publication: Netherlands NLM ID: 101147219 Publication Model: Print Cited Medium: Print ISSN: 0378-4290 (Print) Linking ISSN: 03784290 NLM ISO Abbreviation: Field Crops Res Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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