Precision irrigation management using machine learning and digital farming solutions
Freshwater is essential for irrigation and the supply of nutrients for plant growth, in order to
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …
Wireless communication protocols in smart agriculture: A review on applications, challenges and future trends
IoT based smart agriculture systems are important for efficient usage of lands, water, and
energy resources. Wireless communication protocols constitute a critical part of smart …
energy resources. Wireless communication protocols constitute a critical part of smart …
Towards Smart Farming: Fog-enabled intelligent irrigation system using deep neural networks
M Cordeiro, C Markert, SS Araújo, NGS Campos… - Future Generation …, 2022 - Elsevier
The most amount of withdrawn freshwater in the world is used for agriculture activities to
extract essential products for human survival. Smart Farming can manage and optimize the …
extract essential products for human survival. Smart Farming can manage and optimize the …
Smart irrigation systems using machine learning and control theory
Intelligent irrigation systems have recently gained importance in terms of efficient cultivation
of plants and the correct use of water on earth. Therefore, studies, such as plant growth …
of plants and the correct use of water on earth. Therefore, studies, such as plant growth …
Savime: An array dbms for simulation analysis and ml models prediction
AC da Silva, HLS Lustosa, DNR da Silva… - … of Information and …, 2020 - periodicos.ufmg.br
Limitations in current DBMSs prevent their wide adoption in scientific applications. In order
to make them benefit from DBMS support, enabling Declarative data analysis and …
to make them benefit from DBMS support, enabling Declarative data analysis and …
SmarT: Machine learning approach for efficient filtering and retrieval of spatial and temporal data in big data
SST de Oliveira, VJS Rodrigues… - Journal of Information …, 2021 - journals-sol.sbc.org.br
Spatiotemporal data has always been big data. In these days, big data analytics for
spatiotemporal data is receiving considerable attention to allow users to analyze huge …
spatiotemporal data is receiving considerable attention to allow users to analyze huge …
Industry 4.0: Cloud-assisted Internet of Things Applications and Challenges
Combining the industry 4.0 paradigms of the Internet of Things (IoT), edge computing, and
cloud computing in the form of a three-tier architecture, the paradigm Cloud-assisted IoT …
cloud computing in the form of a three-tier architecture, the paradigm Cloud-assisted IoT …