A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges

P McEnroe, S Wang, M Liyanage - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …

Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review

MA Istiak, MMM Syeed, MS Hossain, MF Uddin… - Ecological …, 2023 - Elsevier
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

Transformer neural network for weed and crop classification of high resolution UAV images

R Reedha, E Dericquebourg, R Canals, A Hafiane - Remote Sensing, 2022 - mdpi.com
Monitoring crops and weeds is a major challenge in agriculture and food production today.
Weeds compete directly with crops for moisture, nutrients, and sunlight. They therefore have …

Using remote sensing to identify individual tree species in orchards: A review

A Ozdarici-Ok, AO Ok - Scientia Horticulturae, 2023 - Elsevier
Fruit trees are an essential subset of all tree species due to their high water and nutrient
content. They play a vital role in human nutrition and provide a significant economic boost …

Complementary use of ground-based proximal sensing and airborne/spaceborne remote sensing techniques in precision agriculture: A systematic review

A Alexopoulos, K Koutras, SB Ali, S Puccio, A Carella… - Agronomy, 2023 - mdpi.com
As the global population continues to increase, projected to reach an estimated 9.7 billion
people by 2050, there will be a growing demand for food production and agricultural …

Image-based high-throughput phenoty** in horticultural crops

AM Abebe, Y Kim, J Kim, SL Kim, J Baek - Plants, 2023 - mdpi.com
Plant phenoty** is the primary task of any plant breeding program, and accurate
measurement of plant traits is essential to select genotypes with better quality, high yield …

Deep learning-based instance segmentation method of litchi canopy from UAV-acquired images

J Mo, Y Lan, D Yang, F Wen, H Qiu, X Chen, X Deng - Remote Sensing, 2021 - mdpi.com
Instance segmentation of fruit tree canopies from images acquired by unmanned aerial
vehicles (UAVs) is of significance for the precise management of orchards. Although deep …

High-resolution map** of paddy rice fields from unmanned airborne vehicle images using enhanced-TransUnet

C Yan, Z Li, Z Zhang, Y Sun, Y Wang, Q **n - Computers and Electronics in …, 2023 - Elsevier
Through remote sensing to obtain accurate information on the area of rice fields is of great
significance for precision agriculture. Currently, rice extraction is primarily based on multi …

YOLO SSPD: a small target cotton boll detection model during the boll-spitting period based on space-to-depth convolution

M Zhang, W Chen, P Gao, Y Li, F Tan… - Frontiers in Plant …, 2024 - frontiersin.org
Introduction Cotton yield estimation is crucial in the agricultural process, where the accuracy
of boll detection during the flocculation period significantly influences yield estimations in …

Dynamic monitoring and counting for lotus flowers and seedpods with UAV based on improved YOLOv7-tiny

Z Lyu, Y Wang, C Huang, G Zhang, K Ding… - … and Electronics in …, 2024 - Elsevier
The numbers of lotus flowers and seedpods are the important agronomic traits for lotus
breeding and field management. However, the traditional measurement method is manual …