[HTML][HTML] Drones in agriculture: A review and bibliometric analysis
A Rejeb, A Abdollahi, K Rejeb, H Treiblmaier - Computers and electronics …, 2022 - Elsevier
Abstract Drones, also called Unmanned Aerial Vehicles (UAV), have witnessed a
remarkable development in recent decades. In agriculture, they have changed farming …
remarkable development in recent decades. In agriculture, they have changed farming …
Deep learning techniques to classify agricultural crops through UAV imagery: A review
During the last few years, Unmanned Aerial Vehicles (UAVs) technologies are widely used
to improve agriculture productivity while reducing drudgery, inspection time, and crop …
to improve agriculture productivity while reducing drudgery, inspection time, and crop …
A real-time apple targets detection method for picking robot based on improved YOLOv5
B Yan, P Fan, X Lei, Z Liu, F Yang - Remote Sensing, 2021 - mdpi.com
The apple target recognition algorithm is one of the core technologies of the apple picking
robot. However, most of the existing apple detection algorithms cannot distinguish between …
robot. However, most of the existing apple detection algorithms cannot distinguish between …
Automation in agriculture by machine and deep learning techniques: A review of recent developments
Recently, agriculture has gained much attention regarding automation by artificial
intelligence techniques and robotic systems. Particularly, with the advancements in machine …
intelligence techniques and robotic systems. Particularly, with the advancements in machine …
Object detection and image segmentation with deep learning on Earth observation data: A review—Part II: Applications
In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by
investigating aggregated classes. The increase in data with a very high spatial resolution …
investigating aggregated classes. The increase in data with a very high spatial resolution …
[HTML][HTML] Semantic segmentation of agricultural images: A survey
Z Luo, W Yang, Y Yuan, R Gou, X Li - Information Processing in Agriculture, 2023 - Elsevier
As an important research topic in recent years, semantic segmentation has been widely
applied to image understanding problems in various fields. With the successful application …
applied to image understanding problems in various fields. With the successful application …
Semantic segmentation using deep learning with vegetation indices for rice lodging identification in multi-date UAV visible images
A rapid and precise large-scale agricultural disaster survey is a basis for agricultural disaster
relief and insurance but is labor-intensive and time-consuming. This study applies …
relief and insurance but is labor-intensive and time-consuming. This study applies …
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …
sustainable agricultural production by leveraging cutting edge remote sensing and …
Image-based plant disease identification by deep learning meta-architectures
The identification of plant disease is an imperative part of crop monitoring systems.
Computer vision and deep learning (DL) techniques have been proven to be state-of-the-art …
Computer vision and deep learning (DL) techniques have been proven to be state-of-the-art …
[HTML][HTML] Plant trait estimation and classification studies in plant phenotyping using machine vision–A review
S Kolhar, J Jagtap - Information Processing in Agriculture, 2023 - Elsevier
Today there is a rapid development taking place in phenotyping of plants using non-
destructive image based machine vision techniques. Machine vision based plant …
destructive image based machine vision techniques. Machine vision based plant …