[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 …

Deep learning techniques to classify agricultural crops through UAV imagery: A review

A Bouguettaya, H Zarzour, A Kechida… - Neural computing and …, 2022 - Springer
During the last few years, Unmanned Aerial Vehicles (UAVs) technologies are widely used
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 …

Automation in agriculture by machine and deep learning techniques: A review of recent developments

MH Saleem, J Potgieter, KM Arif - Precision Agriculture, 2021 - Springer
Recently, agriculture has gained much attention regarding automation by artificial
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

T Hoeser, F Bachofer, C Kuenzer - Remote Sensing, 2020 - mdpi.com
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 …

[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 …

Semantic segmentation using deep learning with vegetation indices for rice lodging identification in multi-date UAV visible images

MD Yang, HH Tseng, YC Hsu, HP Tsai - Remote Sensing, 2020 - mdpi.com
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 …

Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review

MA Istiak, MMM Syeed, MS Hossain, MF Uddin… - Ecological …, 2023 - Elsevier
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

Image-based plant disease identification by deep learning meta-architectures

MH Saleem, S Khanchi, J Potgieter, KM Arif - Plants, 2020 - mdpi.com
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 …

[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 …