Inteligência artificial na agricultura com aplicabilidade no setor sementeiro

Abstract

ABSTRACT: Methods for classification and identification of essential activities in the analysis of seeds is of great technical and economic importance in the agricultural sector and contributes to the added value in the final production of the crop. With technology in the field, demand to solve several problems, human intellectual capacity is inherent. The objective was to portray challenges and evident solutions in the use of artificial intelligence in agriculture and to specify the use of this intellectual activity in the seed sector. Peer-reviewed articles on seed machine learning and artificial intelligence in agriculture were reported in this paper. The processing of data and images with a machine vision are complemented through a common classifier. With the dynamics of current research in the seed industry, trends are expected to investigate in the near future, analysis of characteristic data in seed production systems related to the aspects of processing, storage, drying and quality control. KEYWORDS: Seed classification, Agricultural future, Computer vision.