Soil-app: a tool for soil analysis interpretation

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:

On the genetic architecture in a public tropical maize panel of the symbiosis between corn and plant growth-promoting bacteria aiming to improve plant resilience

“…Chemical and physical soil analysis is available in supplementary table 1. The planting fertilization was done according to soil nutrient content and crop demands provided by Soil-app (Matias et al 2021). It consisted of potassium chloride, simple superphosphate, and limestone soil conditioner inputs added and mixed into the soil.…”

Formulación de fertilidad online para cultivos tropicales con base en análisis físico-químico del suelo

“…Los investigadores han obtenido resultados que demuestran la efectividad del software Fertidif y concluyen que esta herramienta tecnológica brinda información valiosa al agricultor para tomar decisiones acertadas (Niquín-Alayo et al, 2018). Por otro lado, Soil-App es otro software de código abierto que incluye la interpretación de pruebas de suelo, cálculo de enmiendas (cal y yeso), la tasa de fertilizante para los cultivos más importantes de Brasil, una calculadora de mezcla y evaluación de NPK, además de ofrecer análisis estadísticos (Matías et al, 2020).…”