Local Factors Impact Accuracy of Garlic Tissue Test Diagnosis
نویسندگان
چکیده
The low productivity of garlic in Brazil requires more efficient nutritional management. For this, environmental and fertilization-related factors must be adjusted to a set local conditions. Our objective was provide an accurate diagnosis the nutrient status crops southern Brazil. dataset comprised 1024 observations, 962 as field tests conducted during 2015–2017 period train model, 61 observations collected 2018–2019 validate model. Machine learning models (MLM) related yield managerial, edaphic, plant, climatic features. Compositional data analysis (CoDa) methods allowed classification nutrients order limitation where MLM detected imbalance. Tissue alone returned accuracy 0.750 regression 0.891 about cutoff 11 ton ha−1. Adding all features documented dataset, reached 0.855 0.912 classification. Local based on CoDa accounting for differed from regional across may differ because several yield-impacting are taken into account benchmark compositions representative
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ژورنال
عنوان ژورنال: Agronomy
سال: 2022
ISSN: ['2156-3276', '0065-4663']
DOI: https://doi.org/10.3390/agronomy12112714