外文摘要:In recent years, agricultural remote sensing technology has made great progress. The availability of sensors capable of detecting electromagnetic energy and/or heat emitted by targets improves the pre-harvest process and therefore becomes an indispensable tool in the post-harvest phase. Therefore, we outline how remote sensing tools can support a range of agricultural processes from field to storage through crop yield estimation, grain quality monitoring, storage unit identification and characterization, and production process planning. The use of sensors in the field and post-harvest processes allows for accurate real-time monitoring of operations and grain quality, enabling decision-making supported by computer tools such as the Internet of Things (IoT) and artificial intelligence algorithms. This way, grain producers can get ahead, track and reduce losses, and maintain grain quality from field to consumer.
外文关键词:Agricultural monitoring;grain production;grain post-harvest;prediction of agricultural results
作者:Teodoro, Paulo Eduardo;Amado, Telmo Jorge Carneiro;Rodrigues, Dagila Melo;Coradi, Paulo Carteri;Timm, Newiton da Silva;Fornari, Michele;Grellmann, Paulo;Teodoro, Larissa Pereira Ribeiro;Baio, Fabio Henrique Rojo;Chiomento, Jose Luis Trevizan
作者单位:Univ Passo Fundo;Univ Fed Santa Maria;Univ Fed Mato Grosso
期刊名称:AGRICULTURE-BASEL
期刊影响因子:0.0
出版年份:2024
出版刊次:14(1)
原文传递申请:江苏省科技资源(工程技术文献)统筹服务平台