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[HTML][HTML] A review on deep learning in UAV remote sensing
Abstract Deep Neural Networks (DNNs) learn representation from data with an impressive
capability, and brought important breakthroughs for processing images, time-series, natural …
capability, and brought important breakthroughs for processing images, time-series, natural …
[HTML][HTML] Fruit sizing using AI: A review of methods and challenges
Fruit size at harvest is an economically important variable for high-quality table fruit
production in orchards and vineyards. In addition, knowing the number and size of the fruit …
production in orchards and vineyards. In addition, knowing the number and size of the fruit …
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 …
Deep learning-based apple detection with attention module and improved loss function in YOLO
PK Sekharamantry, F Melgani, J Malacarne - Remote Sensing, 2023 - mdpi.com
Horticulture and agriculture are considered as the important pillars of any economy. Current
technological advancements have led to the development of several new technologies …
technological advancements have led to the development of several new technologies …
[HTML][HTML] Detection of white leaf disease in sugarcane crops using UAV-derived RGB imagery with existing deep learning models
White leaf disease (WLD) is an economically significant disease in the sugarcane industry.
This work applied remote sensing techniques based on unmanned aerial vehicles (UAVs) …
This work applied remote sensing techniques based on unmanned aerial vehicles (UAVs) …
Intelligent integrated system for fruit detection using multi-UAV imaging and deep learning
In the context of Industry 4.0, one of the most significant challenges is enhancing efficiency
in sectors like agriculture by using intelligent sensors and advanced computing. Specifically …
in sectors like agriculture by using intelligent sensors and advanced computing. Specifically …
A seamless deep learning approach for apple detection, depth estimation, and tracking using YOLO models enhanced by multi-head attention mechanism
PK Sekharamantry, F Melgani, J Malacarne, R Ricci… - Computers, 2024 - mdpi.com
Considering precision agriculture, recent technological developments have sparked the
emergence of several new tools that can help to automate the agricultural process. For …
emergence of several new tools that can help to automate the agricultural process. For …
[HTML][HTML] Fusion of deep sort and Yolov5 for effective vehicle detection and tracking scheme in real-time traffic management sustainable system
In recent years, advancements in sustainable intelligent transportation have emphasized the
significance of vehicle detection and tracking for real-time traffic flow management on the …
significance of vehicle detection and tracking for real-time traffic flow management on the …
[HTML][HTML] Advanced technology in agriculture industry by implementing image annotation technique and deep learning approach: A review
The implementation of intelligent technology in agriculture is seriously investigated as a way
to increase agriculture production while reducing the amount of human labor. In agriculture …
to increase agriculture production while reducing the amount of human labor. In agriculture …
A deep learning-based object detection scheme by improving YOLOv5 for sprouted potatoes datasets
G Dai, L Hu, J Fan, S Yan, R Li - IEEE Access, 2022 - ieeexplore.ieee.org
Detecting and eliminating sprouted potatoes is a basic measure before potato storage,
which can effectively improve the quality of potatoes before storage and reduce economic …
which can effectively improve the quality of potatoes before storage and reduce economic …