[HTML][HTML] Combination of Remote Sensing and Artificial Intelligence in Fruit Growing: Progress, Challenges, and Potential Applications

DEG Furuya, ÉL Bolfe, TC Parreiras, JGA Barbedo… - Remote Sensing, 2024 - mdpi.com
Fruit growing is important in the global agricultural economy, contributing significantly to
food security, job creation, and rural development. With the advancement of technologies …

[HTML][HTML] Estimation of NPP in Huangshan district based on deep learning and CASA model

Z Wang, Y Zhou, X Sun, Y Xu - Forests, 2024 - mdpi.com
Net primary productivity (NPP) is a key indicator of the health of forest ecosystems that offers
important information about the net carbon sequestration capacity of these systems. Precise …

Design and research of residual film pollution monitoring system based on UAV

J Yang, Z Zhai, Y Li, H Duan, F Cai, J Lv… - … and Electronics in …, 2024 - Elsevier
To evaluate residual film recovery quality and rapidly monitor residual film pollution in
agricultural fields, a residual film pollution monitoring system based on UAV, ground station …

[HTML][HTML] Application of an improved U-Net with image-to-image translation and transfer learning in peach orchard segmentation

J Cheng, Y Zhu, Y Zhao, T Li, M Chen, Q Sun… - International Journal of …, 2024 - Elsevier
Peach cultivation holds a significant economic importance, and obtaining the spatial
distribution of peach orchards is helpful for yield prediction and precision agriculture. In this …

Improving the Accuracy of Urban Waterlogging Simulation: A Novel Computer Vision-Based Digital Elevation Model Refinement Approach for Roads and Densely …

Q Yang, H Huang, C Wang, X Lei, T Feng, X Zuo - Remote Sensing, 2023 - mdpi.com
Urban waterlogging is a natural disaster that occurs in developed cities globally and has
inevitably become severe due to urbanization, densification, and climate change. The digital …

Converging Channel Attention Mechanisms with Multilayer Perceptron Parallel Networks for Land Cover Classification

X Fan, X Li, C Yan, J Fan, L Chen, N Wang - Remote Sensing, 2023 - mdpi.com
This paper proposes a network structure called CAMP-Net, which considers the problem that
traditional deep learning algorithms are unable to manage the pixel information of different …

[HTML][HTML] Camellia oleifera Tree Detection and Counting Based on UAV RGB Image and YOLOv8

R Yang, D Yuan, M Zhao, Z Zhao, L Zhang, Y Fan… - Agriculture, 2024 - mdpi.com
The detection and counting of Camellia oleifera trees are important parts of the yield
estimation of Camellia oleifera. The ability to identify and count Camellia oleifera trees …

[HTML][HTML] Performance Analysis and Operation Parameter Optimization of Shaker-Type Harvesting for Camellia Fruits

Q Gao, J Han, S Zeng, Y Wang, W Wei, D Wang, H Ye… - Agriculture, 2024 - mdpi.com
This study aims to address the challenges of achieving a high harvesting rate and low flower
bud damage rate during the harvesting of camellia fruits. To this end, a dynamic model of the …

Chicken swarm algorithm with deep convolutional neural network based tongue image analysis for gastric cancer classification

A Tiwari, A Katiyar - Intelligent Decision Technologies, 2024 - journals.sagepub.com
Tongue images (the size, shape, and colour of tongue and the thickness, colour, and
moisture content of tongue coating), reflecting the medical condition of entire body based on …