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The UK Government’s Strategy for Agricultural Technologies, published in July 2013, is accelerating growth in the Agri-Tech sector, with funding for four new Centres for Agricultural Innovation that advances the development, adoption and exploitation of new technologies in the agri-food sector...
Lawes Open Innovation Hub, Rothamsted Research, Harpenden, Hertfordshire, AL5 2JQ, GB
The Data Driven Dairy Decisions for Farmers (4D4F) thematic network will focus on the role which dairy animal and environmental sensors can play in collecting real time information to help make more informed decisions in dairy farming.
The Data Driven Dairy Decisions for Farmers (4D4F) thematic network will focus on the role which dairy animal and environmental sensors can play in collecting real time information to help make more informed decisions in dairy farming.
Agriculture sector is accountable for 30% of the total water consumption in Europe, but reaches up to 70% of total water consumption in several European southern countries. In recent years, most of the efforts have been focused on water efficiency, without taking care of energy aspects, resulting in some cases on a significant increase in energy consumption, both per irrigated surface and per volume unit of water. The WEAM4i project will mainly address 2 of the priorities of the EIP on Water: “Water-Energy nexus” and “Decision support systems (DSS) and monitoring”.
Agriculture sector is accountable for 30% of the total water consumption in Europe, but reaches up to 70% of total water consumption in several European southern countries. In recent years, most of the efforts have been focused on water efficiency, without taking care of energy aspects, resulting in some cases on a significant increase in energy consumption, both per irrigated surface and per volume unit of water. The WEAM4i project will mainly address 2 of the priorities of the EIP on Water: “Water-Energy nexus” and “Decision support systems (DSS) and monitoring”.
VinBot responds to a need to boost the quality of European wines by implementing precision viticulture (PV) tools in the face of serious market threats worldwide and structural shortcomings within the EU wine sector. Wine producer associations have no control over yield management throughout their members’ vineyards, which leads to reduced quality wine at the association level.
VinBot responds to a need to boost the quality of European wines by implementing precision viticulture (PV) tools in the face of serious market threats worldwide and structural shortcomings within the EU wine sector. Wine producer associations have no control over yield management throughout their members’ vineyards, which leads to reduced quality wine at the association level.
The SmartAgriFood project addresses the food and agribusiness as a use case for the Future Internet. The intelligence, efficiency, sustainability and performance of the agri-food sector can be radically enhanced by using information & decision support systems that are tightly integrated with advanced internet-based networks & services. Concurrently, the sector provides extremely demanding use cases for Future Internet design from physical layer all the way up to the service layer.
The SmartAgriFood project addresses the food and agribusiness as a use case for the Future Internet. The intelligence, efficiency, sustainability and performance of the agri-food sector can be radically enhanced by using information & decision support systems that are tightly integrated with advanced internet-based networks & services. Concurrently, the sector provides extremely demanding use cases for Future Internet design from physical layer all the way up to the service layer.
S3-CAV focuses on making the ability to perceive the local environment in 3D accessible to farmers transnationally. We devise a sensor framework which we populate with various vision-based and proprioceptive sensors, and combine their real-time input with stored data to provide short-loop safety responses and data sufficient to precisely control an application device in 3D.
S3-CAV focuses on making the ability to perceive the local environment in 3D accessible to farmers transnationally. We devise a sensor framework which we populate with various vision-based and proprioceptive sensors, and combine their real-time input with stored data to provide short-loop safety responses and data sufficient to precisely control an application device in 3D.
Challenges facing the agricultural sector, such as climate change, shrinking land and water resources and land degradation, are a major threat to food security. Key in facing these challenges is better management of the existing land and water resources. Accurate and detailed data on crop and water conditions is essential to make this possible. Farmers need reliable data for efficient resource management, monitoring crop developments and understanding market conditions for planting decisions. Existing data solutions do not meet their needs.
Challenges facing the agricultural sector, such as climate change, shrinking land and water resources and land degradation, are a major threat to food security. Key in facing these challenges is better management of the existing land and water resources. Accurate and detailed data on crop and water conditions is essential to make this possible. Farmers need reliable data for efficient resource management, monitoring crop developments and understanding market conditions for planting decisions. Existing data solutions do not meet their needs.
Agro-industrial companies face the necessity of acquiring more information and control over their crops and the operations they perform in order to produce them. The challenge lies in reducing the hydric and energy resources they use with the objective of increasing their competitiveness and reducing the impact on the environment. Under the brand name of bynse, our SME cubenube (www.cubenube.com) has developed the first big data solution for agriculture in the world.
Agro-industrial companies face the necessity of acquiring more information and control over their crops and the operations they perform in order to produce them. The challenge lies in reducing the hydric and energy resources they use with the objective of increasing their competitiveness and reducing the impact on the environment. Under the brand name of bynse, our SME cubenube (www.cubenube.com) has developed the first big data solution for agriculture in the world.
EOFARM project will cover the topic of Precision Farming (PF), one of the main applications of Earth Observation in the agriculture industry; it makes use of satellite images to help farmers in monitoring and managing crops from planting to harvesting. One of the main needs of farmers, in particular smaller ones which account for 80% of the UAA in EU27, is the possibility to increase yields while reducing the costs and environmental impacts of current crop production processes.
EOFARM project will cover the topic of Precision Farming (PF), one of the main applications of Earth Observation in the agriculture industry; it makes use of satellite images to help farmers in monitoring and managing crops from planting to harvesting. One of the main needs of farmers, in particular smaller ones which account for 80% of the UAA in EU27, is the possibility to increase yields while reducing the costs and environmental impacts of current crop production processes.
