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Plant detection and counting: Enhancing precision agriculture in UAV and general scenes
Plant detection and counting play a crucial role in modern agriculture, providing vital
references for precision management and resource allocation. This study follows the …
references for precision management and resource allocation. This study follows the …
[HTML][HTML] Accuracy assessment of a UAV direct georeferencing method and impact of the configuration of ground control points
X Liu, X Lian, W Yang, F Wang, Y Han, Y Zhang - Drones, 2022 - mdpi.com
Unmanned aerial vehicles (UAVs) can obtain high-resolution topography data flexibly and
efficiently at low cost. However, the georeferencing process involves the use of ground …
efficiently at low cost. However, the georeferencing process involves the use of ground …
[HTML][HTML] Systematic review on capacity building through renewable energy enabled iot-unmanned aerial vehicle for smart agroforestry
Agroforestry (AF) aims to produce more ecologically diversified and socially beneficial
goods from the land than traditional farming. Capacity building on AF will aid in the …
goods from the land than traditional farming. Capacity building on AF will aid in the …
Bidirectional cognitive computing method supported by cloud technology
To realize the bidirectional cognitive computing supported by cloud technology, the cloud
model is taken as a bidirectional cognitive computing model based on probability and …
model is taken as a bidirectional cognitive computing model based on probability and …
TasselLFANet: a novel lightweight multi-branch feature aggregation neural network for high-throughput image-based maize tassels detection and counting
Accurately and rapidly counting the number of maize tassels is critical for maize breeding,
management, and monitoring the growth stage of maize plants. With the advent of high …
management, and monitoring the growth stage of maize plants. With the advent of high …
Modeling method of internet public information data mining based on probabilistic topic model
S Wu, J Liu, L Liu - The Journal of Supercomputing, 2019 - Springer
From the perspective of military intelligence work, the rise and widespread use of the
network has opened up new horizons for intelligence acquisition, but the continuous …
network has opened up new horizons for intelligence acquisition, but the continuous …
PlantBiCNet: A new paradigm in plant science with bi-directional cascade neural network for detection and counting
Deep learning is increasingly popular for precise plant detection and counting in computer
vision applications. Despite the rising cross-disciplinary research in this field, an important …
vision applications. Despite the rising cross-disciplinary research in this field, an important …
Internet public informatioan text data mining and intelligence influence analysis for user intent understanding
S Wu - Journal of Intelligent & Fuzzy Systems, 2020 - content.iospress.com
We propose models based on SVM, Naïve Bayes and deep learning to solve the
consumption intention classification problem. Applying consumption intention mining to …
consumption intention classification problem. Applying consumption intention mining to …
The feasibility assessment study of bridge crack width recognition in images based on special inspection UAV
X Peng, X Zhong, C Zhao, YF Chen… - Advances in Civil …, 2020 - Wiley Online Library
Bridge defects are important indicator for the bridge safety assessment. Considering the cost
and inefficiency of the traditional method, the UAV system applied for bridge crack …
and inefficiency of the traditional method, the UAV system applied for bridge crack …
Design and implementation of distributed RSA algorithm based on Hadoop
With the advent of the era of big data, the deep integration of the Internet and healthcare
makes medical data exponential growth. How to ensure data security is particularly …
makes medical data exponential growth. How to ensure data security is particularly …