[HTML][HTML] A review on UAV-based applications for precision agriculture
Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …
[HTML][HTML] Computer vision, IoT and data fusion for crop disease detection using machine learning: A survey and ongoing research
Crop diseases constitute a serious issue in agriculture, affecting both quality and quantity of
agriculture production. Disease control has been a research object in many scientific and …
agriculture production. Disease control has been a research object in many scientific and …
[HTML][HTML] Deep learning with unsupervised data labeling for weed detection in line crops in UAV images
In recent years, weeds have been responsible for most agricultural yield losses. To deal with
this threat, farmers resort to spraying the fields uniformly with herbicides. This method not …
this threat, farmers resort to spraying the fields uniformly with herbicides. This method not …
Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach
One of the major goals of tomorrow's agriculture is to increase agricultural productivity but
above all the quality of production while significantly reducing the use of inputs. Meeting this …
above all the quality of production while significantly reducing the use of inputs. Meeting this …
Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images
Detection of symptoms in grape leaves is a very important factor in preventing a serious
disease. An epidemic spread in vineyards has huge economic consequences and therefore …
disease. An epidemic spread in vineyards has huge economic consequences and therefore …
[HTML][HTML] Unmanned aircraft system (UAS) technology and applications in agriculture
SC Hassler, F Baysal-Gurel - Agronomy, 2019 - mdpi.com
Numerous sensors have been developed over time for precision agriculture; though, only
recently have these sensors been incorporated into the new realm of unmanned aircraft …
recently have these sensors been incorporated into the new realm of unmanned aircraft …
CRowNet: Deep network for crop row detection in UAV images
Nowadays, the development of robots and smart tractors for the automation of sowing,
harvesting, weeding etc. is transforming agriculture. Farmers are moving from an agriculture …
harvesting, weeding etc. is transforming agriculture. Farmers are moving from an agriculture …
[HTML][HTML] Machine learning for weed–plant discrimination in agriculture 5.0: An in-depth review
Agriculture 5.0 is an emerging concept where sensors, big data, Internet-of-Things (IoT),
robots, and Artificial Intelligence (AI) are used for agricultural purpose. Different from …
robots, and Artificial Intelligence (AI) are used for agricultural purpose. Different from …
Data acquisition and analysis methods in UAV-based applications for Precision Agriculture
Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Precision Agriculture enabling the acquisition of real-time environmental data. IoT devices …
Precision Agriculture enabling the acquisition of real-time environmental data. IoT devices …
Deep learning based classification system for identifying weeds using high-resolution UAV imagery
In recent years, weeds is responsible for most of the agricultural yield losses. To deal with
this problem Omega, farmers resort to spraying pesticides throughout the field. Such method …
this problem Omega, farmers resort to spraying pesticides throughout the field. Such method …