Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review

Y Bai, B Zhang, N Xu, J Zhou, J Shi, Z Diao - Computers and Electronics in …, 2023 - Elsevier
Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

Vision based fruit recognition and positioning technology for harvesting robots

Y Yang, Y Han, S Li, Y Yang, M Zhang, H Li - Computers and Electronics in …, 2023 - Elsevier
Fruit harvesting robot operations in unstructured agricultural environments have been facing
both accuracy and speed challenges, and vision-based control plays an important role in …

Prediction of solar energy guided by pearson correlation using machine learning

I Jebli, FZ Belouadha, MI Kabbaj, A Tilioua - Energy, 2021 - Elsevier
Solar energy forecasting represents a key element in increasing the competitiveness of solar
power plants in the energy market and reducing the dependence on fossil fuels in economic …

Anomaly-based intrusion detection system for IoT application

M Bhavsar, K Roy, J Kelly, O Olusola - Discover Internet of things, 2023 - Springer
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …

Development of machine learning methods to predict the compressive strength of fiber-reinforced self-compacting concrete and sensitivity analysis

MH Nguyen, HB Ly - Construction and Building Materials, 2023 - Elsevier
Fiber-reinforced self-compacting concrete (FRSCC), a great combination of self-compacting
concrete (SCC) and fiber, plays a vital role as a potential construction material. Improving …

A deep learning method with filter based feature engineering for wireless intrusion detection system

SM Kasongo, Y Sun - IEEE access, 2019 - ieeexplore.ieee.org
In recent years, the increased use of wireless networks for the transmission of large volumes
of information has generated a myriad of security threats and privacy concerns; …

Propagation characteristics and mechanism from meteorological to agricultural drought in various seasons

M Dai, S Huang, Q Huang, X Zheng, X Su, G Leng… - Journal of …, 2022 - Elsevier
Agricultural drought poses a serious threat to national food security, and the investigation on
the propagation from meteorological to agricultural drought plays an important role in …

Predicting global horizontal irradiance of north central region of India via machine learning regressor algorithms

R Gupta, AK Yadav, SK Jha, PK Pathak - Engineering Applications of …, 2024 - Elsevier
The ability to predict global horizontal irradiance (GHI) in the wake of changing weather
conditions is becoming increasingly important in driving economic growth in the renewable …

Mechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: A data-driven approach

I Raouf, H Lee, HS Kim - Journal of Computational Design and …, 2022 - academic.oup.com
Recently, prognostic and health management (PHM) has become a prominent field in
modern industry. The rotate vector (RV) reducer is one of the widely used mechanical …

[HTML][HTML] Modeling industrial hydrocyclone operational variables by SHAP-CatBoost-A “conscious lab” approach

SC Chelgani, H Nasiri, A Tohry, HR Heidari - Powder Technology, 2023 - Elsevier
Undoubtedly hydrocyclones play a critical role in powder technology, which can
considerably affect the plants' process efficiency. However, hydrocyclones were rarely …