A survey on the role of Internet of Things for adopting and promoting Agriculture 4.0
There is a rapid increase in the adoption of emerging technologies like the Internet of Things
(IoT), Unmanned Aerial Vehicles (UAV), Internet of Underground Things (IoUT), Data …
(IoT), Unmanned Aerial Vehicles (UAV), Internet of Underground Things (IoUT), Data …
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …
Remote sensing (RS) systems are being more widely used in building decision support tools …
A survey of image processing techniques for plant extraction and segmentation in the field
In this review, we present a comprehensive and critical survey on image-based plant
segmentation techniques. In this context,“segmentation” refers to the process of classifying …
segmentation techniques. In this context,“segmentation” refers to the process of classifying …
Regenerative agriculture and integrative permaculture for sustainable and technology driven global food production and security
A growing world population and increases in food and energy consumption have placed
production agriculture in a difficult situation. The rapid growth in food production through …
production agriculture in a difficult situation. The rapid growth in food production through …
Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields
There is an increasing interest in agricultural robotics and precision farming. In such
domains, relevant datasets are often hard to obtain, as dedicated fields need to be …
domains, relevant datasets are often hard to obtain, as dedicated fields need to be …
Identification of tomato disease types and detection of infected areas based on deep convolutional neural networks and object detection techniques
This study develops tomato disease detection methods based on deep convolutional neural
networks and object detection models. Two different models, Faster R‐CNN and Mask R …
networks and object detection models. Two different models, Faster R‐CNN and Mask R …
Real-time image processing for crop/weed discrimination in maize fields
This paper presents a computer vision system that successfully discriminates between weed
patches and crop rows under uncontrolled lighting in real-time. The system consists of two …
patches and crop rows under uncontrolled lighting in real-time. The system consists of two …
Fast and accurate crop and weed identification with summarized train sets for precision agriculture
In this paper we present a perception system for agriculture robotics that enables an
unmanned ground vehicle (UGV) equipped with a multi spectral camera to automatically …
unmanned ground vehicle (UGV) equipped with a multi spectral camera to automatically …
Weed detection for site‐specific weed management: mapping and real‐time approaches
F López‐Granados - Weed Research, 2011 - Wiley Online Library
López‐Granados F (2011). Weed detection for site‐specific weed management: mapping
and real‐time approaches. Weed Research 51, 1–11. Summary This work describes the …
and real‐time approaches. Weed Research 51, 1–11. Summary This work describes the …
Automatic segmentation of relevant textures in agricultural images
One important issue emerging strongly in agriculture is related with the automatization of
tasks, where the optical sensors play an important role. They provide images that must be …
tasks, where the optical sensors play an important role. They provide images that must be …