SOLOCALC: sistema web para recomendação de corretivos e fertilizantes agrícolas através da interpretação de análises de solo

Abstract

The interpretation of soil analyses to generate fertilization and liming recommendations is essential to ensure sustainability and increase agricultural productivity. However, this task is challenging due to the complexity of the analyses and the need to consult manuals. In view of this scenario, this work presents the development of the SOLOCALC system, a web system designed to interpret data from soil analysis and facilitate the recommendation of fertilization and liming for soybean, wheat and corn crops. The system reduces manual errors, optimizes the recommendation of inputs and promotes more sustainable agricultural practices, highlighting the importance of technology in agronomy.