Predicting potato crop yield with machine learning and deep learning for sustainable agriculture
Potatoes are an important crop in the world; they are the main source of food for a large
number of people globally and also provide an income for many people. The true …
number of people globally and also provide an income for many people. The true …
EEG-based optimization of eye state classification using modified-BER metaheuristic algorithm
This article introduces the Modified Al-Biruni Earth Radius (MBER) algorithm, which seeks to
improve the precision of categorizing eye states as either open (0) or closed (1). The …
improve the precision of categorizing eye states as either open (0) or closed (1). The …
Early detection of Potato Disease using an enhanced convolutional neural network-long short-term memory Deep Learning Model
Potato diseases pose a significant threat to farmers, impacting potato crops' productivity,
quality, and financial stability. Among the most notorious diseases is late blight, caused by …
quality, and financial stability. Among the most notorious diseases is late blight, caused by …
Predicting normalized difference vegetation index using a deep attention network with bidirectional GRU: a hybrid parametric optimization approach
Scalable and accurate normalized difference vegetation index (NDVI) prediction is
necessary to track the status of vegetation and the environment and to support proper …
necessary to track the status of vegetation and the environment and to support proper …
Potato Consumption Forecasting Based on a Hybrid Stacked Deep Learning Model
Potato consumption forecasting is crucial for several stakeholders in the food market. Due to
the market flexibility, the farmers can manipulate the volumes planted for a given type of …
the market flexibility, the farmers can manipulate the volumes planted for a given type of …
Optimizing potato disease classification using a metaheuristics algorithm for deep learning: A novel approach for sustainable agriculture
Potato is a food crop at a global scale, bearing a hefty importance for the food security and
nutrition of millions of people worldwide. Nonetheless, some obstacles have to be overcome …
nutrition of millions of people worldwide. Nonetheless, some obstacles have to be overcome …
Potato Leaf Disease Classification Using Optimized Machine Learning Models and Feature Selection Techniques
M Radwan, AA Alhussan, A Ibrahim, SM Tawfeek - Potato Research, 2024 - Springer
The diseases that particularly affect potato leaves are early blight and the late blight, and
they are dangerous as they reduce yield and quality of the potatoes. In this paper, different …
they are dangerous as they reduce yield and quality of the potatoes. In this paper, different …
Hybridization of synergistic swarm and differential evolution with graph convolutional network for distributed denial of service detection and mitigation in IoT …
CR Babu, M Suneetha, MA Ahmed, PR Babu… - Scientific Reports, 2024 - nature.com
Enhanced technologies of the future are gradually improving the digital landscape. Internet
of Things (IoT) technology is an advanced technique that is quickly increasing owing to the …
of Things (IoT) technology is an advanced technique that is quickly increasing owing to the …
Potato Production Forecasting Based on Balance Dynamic Biruni Earth Radius Algorithm for Long Short-Term Memory Models
SK Towfek, AA Alhussan - Potato Research, 2024 - Springer
Potatoes stand as one of the most vital staple crops globally, providing essential
nourishment and sustenance to millions of people worldwide. Their significance lies in their …
nourishment and sustenance to millions of people worldwide. Their significance lies in their …
Modelling an Improved Swarm Optimizer and Boosted Quantile Estimator For Malicious Flow Monitoring And Prediction In Network.
U Harita, M Mohammed - Journal of Cybersecurity & …, 2024 - search.ebscohost.com
For a long time, malware has posed a significant risk to computer system security. The
effectiveness of conventional detection techniques based on static and dynamic analysis is …
effectiveness of conventional detection techniques based on static and dynamic analysis is …