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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 …
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 …
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
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 …
power plants in the energy market and reducing the dependence on fossil fuels in economic …
Anomaly-based intrusion detection system for IoT application
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 …
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
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 …
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
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; …
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 …
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
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 …
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
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 …
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
Undoubtedly hydrocyclones play a critical role in powder technology, which can
considerably affect the plants' process efficiency. However, hydrocyclones were rarely …
considerably affect the plants' process efficiency. However, hydrocyclones were rarely …