Information and Communication Technologies for Agriculture-Theme II: Data
portes grátis
Information and Communication Technologies for Agriculture-Theme II: Data
Bochtis, Dionysis D.; Balafoutis, Athanasios; Pardalos, Panos M.; Vasileiadis, Giorgos; Moshou, Dimitrios E.
Springer Nature Switzerland AG
03/2023
288
Mole
Inglês
9783030841508
15 a 20 dias
Descrição não disponível.
Section 1 Data Technologies: You Got Data.... Now What: Building the Right Solution for the Problem (Jackman).- Data fusion and its applications in Agriculture (Moshou).- Machine learning technology and its current implementation in agriculture (Anagnostis).- Section 2 Applications: Application possibilities of IoT based management systems in agriculture (Toth).- Plant species detection using image processing and deep learning: A mobile-based application (Mangina).- Computer vision-based detection and tracking in the olive sorting pipeline (Gogos).- Integrating spatial with qualitative data to monitor land use intensity: evidence from arable land - animal husbandry systems (Vasilakos).- Air drill seeder distributor head evaluation: a comparison between laboratory tests and Computational Fluid Dynamics simulations (R. Scola).- Section 3 Value Chain: Data - based agricultural business continuity management policies (Podaras).- Soybean price trend forecast using deep learning techniques based on prices and text sentiments (F. Silva).- Use of unsupervised machine learning for agricultural supply chain data labeling (F. Silva).
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
ontologies agriculture;open data;image processing agriculture;data management agriculture;data mining agriculture;Internet of Things (IoT);smart farming techniques;knowledge-based agriculture;web of data;open data;image processing agricultural systems;digitizing agriculture;applications in agriculture
Section 1 Data Technologies: You Got Data.... Now What: Building the Right Solution for the Problem (Jackman).- Data fusion and its applications in Agriculture (Moshou).- Machine learning technology and its current implementation in agriculture (Anagnostis).- Section 2 Applications: Application possibilities of IoT based management systems in agriculture (Toth).- Plant species detection using image processing and deep learning: A mobile-based application (Mangina).- Computer vision-based detection and tracking in the olive sorting pipeline (Gogos).- Integrating spatial with qualitative data to monitor land use intensity: evidence from arable land - animal husbandry systems (Vasilakos).- Air drill seeder distributor head evaluation: a comparison between laboratory tests and Computational Fluid Dynamics simulations (R. Scola).- Section 3 Value Chain: Data - based agricultural business continuity management policies (Podaras).- Soybean price trend forecast using deep learning techniques based on prices and text sentiments (F. Silva).- Use of unsupervised machine learning for agricultural supply chain data labeling (F. Silva).
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
ontologies agriculture;open data;image processing agriculture;data management agriculture;data mining agriculture;Internet of Things (IoT);smart farming techniques;knowledge-based agriculture;web of data;open data;image processing agricultural systems;digitizing agriculture;applications in agriculture
