[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) …
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 …
Application of low-altitude UAV remote sensing image object detection based on improved YOLOv5
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 …
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 …
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
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 …
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
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 …
face of population growth and climate change. Information about the geographical …