Article

Site-specific machine learning predictive fertilization models for potato crops in Eastern Canada

2020-03-12

Abstract excerpt

1 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 diseases. Where sufficient data are available, machine learning algorithms can be used to predict crop performanc...

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Literature Corpus work: f733716f-ded5-583c-9444-f2ee00e9242b
DOI: 10.1101/2020.03.12.988626

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