[HTML][HTML] Decision support systems for agriculture 4.0: Survey and challenges
Undoubtedly, high demands for food from the world-wide growing population are impacting
the environment and putting many pressures on agricultural productivity. Agriculture 4.0, as …
the environment and putting many pressures on agricultural productivity. Agriculture 4.0, as …
Smart farming in Europe
Smart Farming is the new term in the agriculture sector, aiming to transform the traditional
techniques to innovative solutions based on Information Communication Technologies …
techniques to innovative solutions based on Information Communication Technologies …
Digitalisation and Artificial Intelligence for sustainable food systems
HJP Marvin, Y Bouzembrak… - Trends in Food Science …, 2022 - Elsevier
Abstract Background The European Commission (EC) has launched the European Green
Deal communication, setting out the path for a fundamental transformation of Europe. Key …
Deal communication, setting out the path for a fundamental transformation of Europe. Key …
[HTML][HTML] An integrated socio-cyber-physical system framework to assess responsible digitalisation in agriculture: A first application with Living Labs in Europe
CONTEXT It is still an open question how to assess the contribution of digitalisation in
agriculture to the United Nations' Sustainable Development Goals, and how digitalisation …
agriculture to the United Nations' Sustainable Development Goals, and how digitalisation …
[HTML][HTML] Precision livestock farming: Building 'digital representations' to bring the animals closer to the farmer
Economic pressures continue to mount on modern-day livestock farmers, forcing them to
increase herds sizes in order to be commercially viable. The natural consequence of this is …
increase herds sizes in order to be commercially viable. The natural consequence of this is …
Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots
Premise Weed removal in agriculture is typically achieved using herbicides. The use of
autonomous robots to reduce weeds is a promising alternative solution, although their …
autonomous robots to reduce weeds is a promising alternative solution, although their …
A context-aware middleware cloud approach for integrating precision farming facilities into the IoT toward agriculture 4.0
The adoption of Precision Farming (PF) practices involving ubiquitous computing
advancements and conceptual innovations of “smart” agricultural production toward …
advancements and conceptual innovations of “smart” agricultural production toward …
Combining generative adversarial networks and agricultural transfer learning for weeds identification
Highlights•Weeds identification was performed using transfer learning techniques.•Weeds
identification was performed using Generative Adversarial Networks.•The methodology …
identification was performed using Generative Adversarial Networks.•The methodology …
Is the current state of the art of weed monitoring suitable for site‐specific weed management in arable crops?
Weed monitoring is the first step in any site‐specific weed management programme. A
relatively large variety of platforms, cameras, sensors and image analysis procedures are …
relatively large variety of platforms, cameras, sensors and image analysis procedures are …
Herbicide resistance management: Recent developments and trends
This review covers recent developments and trends in herbicide-resistant (HR) weed
management in agronomic field crops. In countries where input-intensive agriculture is …
management in agronomic field crops. In countries where input-intensive agriculture is …