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Towards a modelling, optimization and predictive control framework for smart irrigation
Smart irrigation scheduling is a promising approach for improving the efficiency and
sustainability of agricultural water use, especially in arid and semi-arid lands. In this paper …
sustainability of agricultural water use, especially in arid and semi-arid lands. In this paper …
An intelligent forecasting system in Internet of Agriculture Things sensor network
Irrigation refers to the process of supplying water to the soil via pumps and spraying water
across the field. In conventional agriculture, the installation and operation of an irrigation …
across the field. In conventional agriculture, the installation and operation of an irrigation …
Perbandingan Material Superkapasitor Berbasis Karbon dan Oksida Logam untuk Optimalisasi Penyimpanan Energi dalam Aplikasi Sistem Energi Terbarukan …
NAE Putra, SA Ferdiyanto, F Qunefi… - Jurnal Energi Baru …, 2024 - ejournal2.undip.ac.id
Kebutuhan akan solusi penyimpanan energi yang efisien dan berkelanjutan semakin
meningkat seiring dengan perkembangan sistem energi terbarukan. Superkapasitor, yang …
meningkat seiring dengan perkembangan sistem energi terbarukan. Superkapasitor, yang …
A human-in-the-loop ensemble fusion framework for road crash prediction: co** with imbalanced heterogeneous data from the driver-vehicle-environment system
D Elamrani Abou Elassad… - Transportation …, 2024 - Taylor & Francis
Road accidents are an inevitable aspect of daily life, and predicting crashes is crucial for
minimizing disruptions and advancing intelligent transportation technologies. This study …
minimizing disruptions and advancing intelligent transportation technologies. This study …
Deep Learning Prediction of Vehicle Lane Departure During Night-Times: A Synthetic Over-Sampling Framework with Enhanced Dimensionality Reduction
D Elamrani Abou Elassad… - … on Connected Objects …, 2024 - Springer
The inevitability and imminent widespread adoption of autonomous vehicles are
acknowledged, yet human supervision in driving remains crucial for the foreseeable future …
acknowledged, yet human supervision in driving remains crucial for the foreseeable future …
Smart Agricultural System Using Machine Learning to Predict Rainfall and Conserve Water for Irrigation
S Poojasri, S Karuppusamy… - 2024 4th …, 2024 - ieeexplore.ieee.org
The primary objective of this research is to conserve water through smart agriculture, by
employing the Random Forest algorithm to predict rainfall. By avoiding unnecessary …
employing the Random Forest algorithm to predict rainfall. By avoiding unnecessary …
Deep Learning Prediction of Vehicle Lane Departure During Night-Times: A Synthetic Over-Sampling Framework with Enhanced Dimensionality Reduction
M Akhloufi - Proceeding of the International Conference on …, 2024 - books.google.com
The inevitability and imminent widespread adoption of autonomous vehicles are
acknowledged, yet human supervision in driving remains crucial for the foreseeable future …
acknowledged, yet human supervision in driving remains crucial for the foreseeable future …
Integrating AI-based Methods for Enhanced the Performance of Intelligent Irrigation Systems
R Neji, W Mechri - 2024 International Symposium of Systems …, 2024 - ieeexplore.ieee.org
Water management is a critical issue affecting agriculture, necessitating efficient water
management practices to ensure sustainable crop production. Traditional irrigation methods …
management practices to ensure sustainable crop production. Traditional irrigation methods …