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 …

[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 …

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 …

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 …

Comparative Analysis of Neural Networks and Deep Learning Techniques for Enhancing Precision in Agricultural Forecasting

N Babbar, A Kumar, VK Verma - 2024 IEEE 3rd World …, 2024 - ieeexplore.ieee.org
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 …

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 …

Ensemble techniques for effective prediction of crop selection in the Coastal Andhra deltaic region

A Vanathi, SR Sree, K Swaroopa - Intelligent Systems and …, 2022 - taylorfrancis.com
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 …

[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 …

[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 …