| Popis: |
Brazil is the world’s second largest exporter of soybeans, but growers face challenges, individually crop pests. Information Technology can provide solutions that contribute to the fight against brown stink bugs since this is the insect that causes the most loss of Brazilian production. The Paraconsistent Logic and the Paraconsistent Artificial Neural Networks allow us to create solutions for the identification of the insect in the plants, from in loco images. This article explored the techniques available for the construction of applications in Agriculture 4.0 for insect recognition, in order to facilitate the identification of them in the plantations, through the recognition of patterns of the aerial parts of the plant. The objective of this research is exploratory, with a qualitative approach and bibliographic and documentary procedures. Sources were used as scientific articles, research on international institutional sites, and research of data in national governmental institutions that work with the production, control, and export of this commodity. The biggest challenge of Agriculture 4.0 is to integrate technologies that can contribute to agribusiness. This is because farmers face difficulties accessing the internet in the field, which harms the use of devices in the plantations. This problem also affects countries in Europe, such as Germany, that need to ensure fiber-optic internet in rural areas. Despite the challenges encountered, solutions are using Artificial Intelligence in the area of agriculture that has contributed to the Brazilian agribusiness but is still an unexplored strand. |
