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| Matias,Filipe Inácio; Sabadin,José Felipe Gonzaga; Moreira,Lílian Angélica; Gomes,Marcos Henrique Feresin; Mira,Acácio Bezerra de; Fritsche-Neto,Roberto; Otto,Rafael. |
| ABSTRACT New apps have changed the traditional way of learning and teaching; they are also applied as a quickly executed and effective method in agriculture. Soil-app is a web application with a friendly click-point interface built through packages lodged in R software. The app is an advanced model of an open-source platform to support teaching and learning activities in soil analyses and fertilizer recommendations. Soil-app includes soil test interpretation, soil amendment calculations (lime and gypsum), the fertilizer rate for the most important crops in Brazil, an NPK blend calculator, and NPK blend evaluation. It also includes experimental statistical analysis as applied to soil science. Soil-app is a user-friendly and high-performance tool, garnering... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Software; Fertilizers; Recommendation; Prediction; Statistical analyses. |
| Ano: 2021 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000101404 |
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