Data/hora: 24/06/2024 17:20:41

Biblioteca(s): | Embrapa Instrumentação.
Data corrente: | 09/06/2022
Data da última atualização: | 23/01/2024
Autoria: | CRUVINEL, P. E.
Afiliação: | PAULO ESTEVAO CRUVINEL, CNPDIA.
Título: | Advanced digital platform for agricultural risk management.
Ano de publicação: | 2022
Fonte/Imprenta: | In: IEEE International Conference on Semantic Computing (ICSC), 16th, Laguna Hills, CA, USA, 2022.
Páginas: | 299 - 306
ISBN: | 978-1-6654-3418-8
ISSN: | 2325-6516
DOI: | 10.1109/ICSC52841.2022.00056
Idioma: | Inglês
Conteúdo: | —This paper presents a robust system for agricultural risk management based on semantic knowledge and decisionmaking processes at farm scale. Thus, in order to anticipate, avoid and react to shocks arising from negative externalities that may occur during a production process, the method has been structured using algorithms that enable not only an efficient agricultural management, but also a rational use of inputs in the crop management phase. The processing services have been implemented on a cloud computing infrastructure, being specific for geospatialized agricultural applications, i. e., involving large amounts of data and analytics. For the validation case studies were considered based on corn crop cycles (Zea Mays. L.) under rainfed conditions, two of them in the normal harvest period and the third in the off-season period, using the concept related to Research-on-Farm
Palavras-Chave: | Agricultural risk; Big data; Intelligent systems; Semantic computation.
Categoria do assunto: | --
Registro original: | Embrapa Instrumentação (CNPDIA)
Exemplares: | CNPDIA - (18016-1) - UPC - AA - DD - PROCI.22/61 -  - 2022/66 - DIS