The evolution that is nowadays taking place in the information and communication fields, namely in mobile computing and remote monitoring, constitutes a very interesting challenge to the agricultural sector. This reality places agronomic knowledge in centre stage as these technologies are dramatically improving data collection and storage capacities, challenging the farmers and the agricultural field experts to develop processes that efficiently transform data into information and knowledge and are able to support the everyday decision making at farm level. In this work we will present a demonstration project under way in a vineyard in Portugal where we are exploring the potential of the most recent technological innovations available in th...
Significant challenges will have to be overcome to achieve the level of agricultural productivity ne...
Researchers and practitioners are paying increasing attention to the opportunities enabled by Intern...
This work aims to show how to manage heterogeneous information and data coming from real datasets th...
In recent years, some official reports, to produce best products regarding quality, quantity and eco...
This work aims to show how to manage heterogeneous information and data coming from real datasets th...
Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enab...
Nowadays, public and private companies, are in a constant race to increase profitability, chasing th...
Agricultural Informatics is one of the important emerging domains gaining popularity in recent years...
New technologies have the potential to transform agriculture and to reduce environmental impact thr...
Continuous growth of global population requires a better management of food resources: increasing pr...
IoT and analytical practices in traditional industries: A view of the farming and agricultural secto
Summarization: Agriculture is by its nature a complicated scientific field, related to a wide range ...
Agriculture faces different environmental, economic and social challenges that make the case for tra...
Artificial Intelligence (AI) is increasingly used in different parts of society for providing decisi...
Data-based farming facilitates the zonal management (Smart-FIELD) in the smart farm (SF) vineyards. ...
Significant challenges will have to be overcome to achieve the level of agricultural productivity ne...
Researchers and practitioners are paying increasing attention to the opportunities enabled by Intern...
This work aims to show how to manage heterogeneous information and data coming from real datasets th...
In recent years, some official reports, to produce best products regarding quality, quantity and eco...
This work aims to show how to manage heterogeneous information and data coming from real datasets th...
Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enab...
Nowadays, public and private companies, are in a constant race to increase profitability, chasing th...
Agricultural Informatics is one of the important emerging domains gaining popularity in recent years...
New technologies have the potential to transform agriculture and to reduce environmental impact thr...
Continuous growth of global population requires a better management of food resources: increasing pr...
IoT and analytical practices in traditional industries: A view of the farming and agricultural secto
Summarization: Agriculture is by its nature a complicated scientific field, related to a wide range ...
Agriculture faces different environmental, economic and social challenges that make the case for tra...
Artificial Intelligence (AI) is increasingly used in different parts of society for providing decisi...
Data-based farming facilitates the zonal management (Smart-FIELD) in the smart farm (SF) vineyards. ...
Significant challenges will have to be overcome to achieve the level of agricultural productivity ne...
Researchers and practitioners are paying increasing attention to the opportunities enabled by Intern...
This work aims to show how to manage heterogeneous information and data coming from real datasets th...