A new robust hybrid model based on support vector machine and firefly meta-heuristic algorithm to predict pistachio yields and select effective soil variables
J Seyedmohammadi, A Zeinadini, MN Navidi… - Ecological …, 2023 - Elsevier
Pistachio production is an economically important crop that grows in arid environments. To
predict yield and sustainably manage the use of natural resources such as soil and water …
predict yield and sustainably manage the use of natural resources such as soil and water …
[PDF][PDF] Predicting weather forecasting state based on data mining classification algorithms
FQ Kareem, AM Abdulazeez… - Asian Journal of Research …, 2021 - academia.edu
Weather forecasting is the process of predicting the status of the atmosphere for certain
regions or locations by utilizing recent technology. Thousands of years ago, humans tried to …
regions or locations by utilizing recent technology. Thousands of years ago, humans tried to …
A Comparison of Classification Algorithms for Predicting Dis-tinctive Characteristics in Fine Aroma Cocoa Flowers Using WE-KA Modeler
D Tineo, YS Murillo, M Marín, D Gomez… - Qubahan Academic …, 2024 - journal.qubahan.com
The expression of crop functional traits is influenced by environmental and management
conditions, which in turn is reflected in genetic diversity. This study employed a data mining …
conditions, which in turn is reflected in genetic diversity. This study employed a data mining …
An Integrated Gesture Framework of Smart Entry Based on Arduino and Random Forest Classifier
SM Almufti, AM Abdulazeez - Indonesian Journal of Computer Science, 2024 - 3.8.6.95
Gesture-based systems have emerged as a prominent breakthrough in the field of smart
access control, effectively integrating security measures with user comfort. This study …
access control, effectively integrating security measures with user comfort. This study …
Comparative Analysis of Neural Networks and Deep Learning Techniques for Enhancing Precision in Agricultural Forecasting
As we know, India is primarily known for its farming practices. More than 50% of the total
land is used for agriculture. The selection of land depends on the type of soil, climate …
land is used for agriculture. The selection of land depends on the type of soil, climate …
Hybrid Machine Learning based Crop Prediction Model
KS Kumar, K Arulanandam - Journal of Electrical Systems, 2024 - search.proquest.com
The manufacturing of agricultural goods has always been an essential component of
economic growth, and it has had a significant influence on the economic well-being of our …
economic growth, and it has had a significant influence on the economic well-being of our …
Ensemble techniques for effective prediction of crop selection in the Coastal Andhra deltaic region
Agriculture is every nation's pride and predominant industry which majorly contributes to the
nation's economy, raw materials for various industries, and the livelihood of society …
nation's economy, raw materials for various industries, and the livelihood of society …
[PDF][PDF] AN ENSEMBLE-BASED CLUSTERING AND CLASSIFICATION FRAMEWORK FOR PREDICTING AGRICULTURAL CROP YIELD: A COMPREHENSIVE …
J Udhaya Priya, K Nirmala - jnao-nu.com
This survey paper explores an innovative ensemble-based clustering and classification
framework designed for predicting agricultural crop yield. The study focuses on addressing …
framework designed for predicting agricultural crop yield. The study focuses on addressing …
[PDF][PDF] Swarm Intelligence-Based Feature Selection for Multi-Label Classification: A Review
Multi-label classification is the process of specifying more than one class label for each
instance. The high-dimensional data in various multi-label classification tasks have a direct …
instance. The high-dimensional data in various multi-label classification tasks have a direct …