Automatic identification method of surface lithology based on remote sensing satellite data and machine learning DOI

Mengran Wang

Published: July 10, 2024

Language: Английский

Information-integration-based optimal coverage path planning of agricultural unmanned systems formations: From theory to practice DOI
Jian Chen, Tao Chen, Yi Cao

et al.

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: 40, P. 100617 - 100617

Published: April 21, 2024

Language: Английский

Citations

7
Towards resilient, inclusive, sustainable livestock farming systems DOI Creative Commons
Franco Bilotto, Matthew Tom Harrison, Ronaldo Vibart

et al.

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: 152, P. 104668 - 104668

Published: Aug. 17, 2024

Language: Английский

Citations

7
Disturbance rejection control of the agricultural quadrotor based on adaptive neural network DOI Creative Commons

Wenxin Le,

Pengyang Xie,

Jian Chen

et al.

Information Processing in Agriculture, Journal Year: 2024, Volume and Issue: unknown

Published: May 1, 2024

In order to solve the problem of stability agricultural quadrotor working, its controller designing is first priority. Therefore, this paper makes an attempt use Radial Basis Function (RBF) neural network adaptive method combined with sliding mode control height channel. Validation efficacy RBF in conducted through simulation experiments utilizing parameters. The application has laid a theoretical foundation. At same time, experiments, it concluded theory that can have good prediction and elimination effect on interference during flight, change time constant will not affect aircraft. Notably, abrupt changes indicate UAV motor malfunction. Simulation results affirm proposed regulating altitude addressing sudden faults. Real-world experimentation reveals even when propellers sustain damage certain extent, hover capabilities remain intact. These findings provide solid groundwork for subsequent endeavors operations, while also offering innovative avenues advancing field.

Language: Английский

Citations

3
Review: multi object tracking in livestock - from farm animal management to state-of-the-art methods DOI Creative Commons

Malik Nidhi,

Kai Liu,

K J Flay

et al.

animal, Journal Year: 2025, Volume and Issue: unknown, P. 101503 - 101503

Published: April 1, 2025

Language: Английский

Citations

0
Advancing Precision Agriculture Through Digital Twins and Smart Farming Technologies: A Review DOI Creative Commons
Muhammad Awais, Xiuquan Wang, Sajjad Hussain

et al.

AgriEngineering, Journal Year: 2025, Volume and Issue: 7(5), P. 137 - 137

Published: May 6, 2025

The agricultural sector is evolving with the adoption of smart farming technologies, where Digital Twins (DTs) offer new possibilities for real-time monitoring, simulation, and decision-making. While previous research has explored Internet Things (IoT), UAVs, machine learning (ML), remote sensing (RS) in enhancing efficiency, a systematic approach to integrating these technologies within DTs ecosystem remains underdeveloped. This paper presents review 167 studies published between 2018 2025. objective this study examine recent advancements DTs-enabled precision agriculture propose comprehensive framework designing, integrating, optimizing farming. systematically examines current state DT adoption, identifies key barriers, computational efficiency challenges, provides step-by-step methodology implementation. sheds light on potential future direction implications policy, aim speed up DTs-based farm management systems their operational success commercial viability through analysis practical applications perspectives. an innovative strategy digital physical into important contribution existing literature.

Language: Английский

Citations

0
Human-UAV interactive perception: Skeleton-based iterative perspective optimization algorithm for UAV patrol tracking of large-scale pedestrian abnormal behavior DOI

Ziao Wang,

Tao Chen, Jian Chen

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 167, P. 112467 - 112467

Published: Nov. 16, 2024

Language: Английский

Citations

1
Integrating UAV, UGV and UAV-UGV collaboration in future industrialized agriculture: Analysis, opportunities and challenges DOI
Zhigang Ren,

Han Zheng,

Jian Chen

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 227, P. 109631 - 109631

Published: Nov. 23, 2024

Language: Английский

Citations

1
Automatic identification method of surface lithology based on remote sensing satellite data and machine learning DOI

Mengran Wang

Published: July 10, 2024

Language: Английский

Citations

0