[HTML][HTML] A review on deep learning in UAV remote sensing

LP Osco, JM Junior, APM Ramos… - International Journal of …, 2021 - Elsevier
Abstract Deep Neural Networks (DNNs) learn representation from data with an impressive
capability, and brought important breakthroughs for processing images, time-series, natural …

[HTML][HTML] Fruit sizing using AI: A review of methods and challenges

JC Miranda, J Gené-Mola, M Zude-Sasse… - Postharvest Biology and …, 2023 - Elsevier
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 …

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 …

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 …

[HTML][HTML] Detection of white leaf disease in sugarcane crops using UAV-derived RGB imagery with existing deep learning models

N Amarasingam, F Gonzalez, ASA Salgadoe… - Remote Sensing, 2022 - mdpi.com
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) …

Intelligent integrated system for fruit detection using multi-UAV imaging and deep learning

O Melnychenko, L Scislo, O Savenko, A Sachenko… - Sensors, 2024 - mdpi.com
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 …

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 …

[HTML][HTML] Fusion of deep sort and Yolov5 for effective vehicle detection and tracking scheme in real-time traffic management sustainable system

S Kumar, SK Singh, S Varshney, S Singh, P Kumar… - Sustainability, 2023 - mdpi.com
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 …

[HTML][HTML] Advanced technology in agriculture industry by implementing image annotation technique and deep learning approach: A review

N Mamat, MF Othman, R Abdoulghafor, SB Belhaouari… - Agriculture, 2022 - mdpi.com
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 …

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 …