[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) …

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 …

Application of low-altitude UAV remote sensing image object detection based on improved YOLOv5

Z Li, A Namiki, S Suzuki, Q Wang, T Zhang, W Wang - Applied Sciences, 2022 - mdpi.com
With the development of science and technology, the traditional industrial structures are
constantly being upgraded. As far as drones are concerned, an increasing number of …

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 …

Active fire mapping on Brazilian Pantanal based on deep learning and CBERS 04A imagery

L Higa, J Marcato Junior, T Rodrigues, P Zamboni… - Remote Sensing, 2022 - mdpi.com
Fire in Brazilian Pantanal represents a serious threat to biodiversity. The Brazilian National
Institute of Spatial Research (INPE) has a program named Queimadas, which estimated …

[HTML][HTML] Benchmarking anchor-based and anchor-free state-of-the-art deep learning methods for individual tree detection in rgb high-resolution images

P Zamboni, JM Junior, JA Silva, GT Miyoshi… - Remote Sensing, 2021 - mdpi.com
Urban forests contribute to maintaining livability and increase the resilience of cities in the
face of population growth and climate change. Information about the geographical …