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A temporal fusion transformer deep learning model for long-term streamflow forecasting: a case study in the funil reservoir, Southeast Brazil
G Fayer, L Lima, F Miranda… - Knowledge …, 2023 - … journals.publicknowledgeproject.org
Water reservoirs play a critical role in water resource management systems, serving various
purposes such as water supply, hydropower generation, and flood control. Accurate long …
purposes such as water supply, hydropower generation, and flood control. Accurate long …
Develo** a comprehensive evaluation model of variety adaptability based on machine learning method
Y Han, K Wang, Q Zhang, F Yang, S Pan, Z Liu… - Field Crops …, 2024 - Elsevier
Context or problem A comprehensive evaluation of the adaptability of maize varieties is very
important to accurately promote new varieties and reduce the risk of using them. However …
important to accurately promote new varieties and reduce the risk of using them. However …
A Novel Framework using deep learning techniques for Ragi Price Prediction in Karnataka
K Meena, B Chaitra - IEEE Access, 2024 - ieeexplore.ieee.org
Indian agriculture is diverse, employing a significant portion of the country's population. In
southern states of India, Rice and Ragi are the main crops. Ragi cultivation provides …
southern states of India, Rice and Ragi are the main crops. Ragi cultivation provides …
Maize hybrids performance evaluation with Data Fusion by Matrix Factorization algorithm
Crop breeders often face challenges due to limited data availability when making crucial
decisions, such as selecting top-performing varieties/hybrids for further experiments …
decisions, such as selecting top-performing varieties/hybrids for further experiments …
Time series forecasting of wheat crop productivity in egypt using deep learning techniques
Egypt's agricultural sector plays a critical role in the country's economy, with wheat
cultivation being vital for ensuring food security. However, the challenges faced by wheat …
cultivation being vital for ensuring food security. However, the challenges faced by wheat …
Efficient representation learning of satellite image time series and their fusion for spatiotemporal applications
Satellite data bolstered by their increasing accessibility is leading to many endeavors of
automated monitoring of the earth's surface for various applications. Such applications …
automated monitoring of the earth's surface for various applications. Such applications …
An innovative smart agriculture system utilizing a deep neural network and embedded system to enhance crop yield
Wheat crop classification and prediction are important tasks for the optimization of crop yield
and resource utilization. In this study, we propose an Artificial Neural Network (ANN) model …
and resource utilization. In this study, we propose an Artificial Neural Network (ANN) model …
Utilizing MODIS Fire Mask for Predicting Forest Fires Using Landsat-9/8 and Meteorological Data
Y Gupta, N Goyal, VJ Varghese… - 2023 IEEE 10th …, 2023 - ieeexplore.ieee.org
Recent years have seen some of the largest forest fires ever, including the 2020 California
megafires and the Australian bushfires, causing billions of dollars in property damage and …
megafires and the Australian bushfires, causing billions of dollars in property damage and …
Predicting wheat yield in agricultural industry using deep learning techniques: a review
P Bari, L Ragha - Nigerian Journal of Technology, 2024 - ajol.info
In the post-pandemic future, technology in the agriculture industry can improve food
sustainability while moderating the use of resources of nature in a variety of conditions …
sustainability while moderating the use of resources of nature in a variety of conditions …
Spatial-channel transformer network based on mask-RCNN for efficient mushroom instance segmentation
J Wang, W Song, W Zheng, Q Feng, M Wang… - International Journal of …, 2024 - ijabe.org
Edible mushrooms are rich in nutrients; however, harvesting mainly relies on manual labor.
Coarse localization of each mushroom is necessary to enable a robotic arm to accurately …
Coarse localization of each mushroom is necessary to enable a robotic arm to accurately …