Data/hora: 13/06/2024 05:06:37

Provedor de dados: 	63	
País: 	Brazil	
Título: 	Soil-app: a tool for soil analysis interpretation	
Autores: 	Matias,Filipe Inácio; Sabadin,José Felipe Gonzaga; Moreira,Lílian Angélica; Gomes,Marcos Henrique Feresin; Mira,Acácio Bezerra de; Fritsche-Neto,Roberto; Otto,Rafael.	
Data: 	2021-01-01	
Ano: 	2021	
Palavras-chave: 	Software; Fertilizers; Recommendation; Prediction; Statistical analyses.	
Resumo: 	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 fast adoption by both students and professionals. It is available for network use through the following link: http://www.genetica.esalq.usp.br/alogamas/R.html	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000101404	
Editor: 	São Paulo - Escola Superior de Agricultura "Luiz de Queiroz"	
Relação: 	10.1590/1678-992x-2019-0113	
Formato: 	text/html	
Fonte: 	Scientia Agricola  v.78 n.1 2021	
Fonte: 	info:eu-repo/semantics/openAccess