Smart farming prediction models for precision agriculture: a comprehensive survey

DK Kwaghtyo, CI Eke - Artificial Intelligence Review, 2023 - Springer
Considering the variability of the farming resources such as soil, fertilizer and weather
conditions including crops. Proper utilization of these resources for high yield is paramount …

Enhancing the random forest model via synthetic minority oversampling technique for credit-card fraud detection

FO Aghware, AA Ojugo, W Adigwe… - Journal of …, 2024 - dl.futuretechsci.org
Fraudsters increasingly exploit unauthorized credit card information for financial gain,
targeting un-suspecting users, especially as financial institutions expand their services to …

Strategic Feature Selection for Enhanced Scorch Prediction in Flexible Polyurethane Form Manufacturing

F Omoruwou, AA Ojugo… - Journal of Computing …, 2024 - dl.futuretechsci.org
The occurrence of scorch during the production of flexible polyurethane is a significant issue
that negatively impacts foam products' resilience and generally jeopardizes their integrity …

Crop prediction based on soil and environmental characteristics using feature selection techniques

A Suruliandi, G Mariammal, SP Raja - Mathematical and Computer …, 2021 - Taylor & Francis
Earlier, crop cultivation was undertaken on the basis of farmers' hands-on expertise.
However, climate change has begun to affect crop yields badly. Consequently, farmers are …

CoSoGMIR: A Social Graph Contagion Diffusion Framework using the Movement-Interaction-Return Technique

AA Ojugo, PO Ejeh, MI Akazue… - Journal of …, 2023 - dl.futuretechsci.org
Besides the inherent benefits of exchanging information and interactions between nodes on
a social graph, they can also become a means for the propagation of knowledge. Social …

Prediction of land suitability for crop cultivation based on soil and environmental characteristics using modified recursive feature elimination technique with various …

G Mariammal, A Suruliandi, SP Raja… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Crop cultivation prediction is an integral part of agriculture and is primarily based on factors
such as soil, environmental features like rainfall and temperature, and the quantum of …

[PDF][PDF] DeGATraMoNN: Deep Learning Memetic Ensemble to Detect Spam Threats via a Content-Based Processing

AA Ojugo, MI Akazue, PO Ejeh… - Kongzhi Yu Juece …, 2023 - researchgate.net
Technological growth is targeted at advancing society to higher sophistication with ease.
The birth and advances of the Internet to ease sharing of resources can be attributed to …

Evaluation of three feature dimension reduction techniques for machine learning-based crop yield prediction models

HT Pham, J Awange, M Kuhn - Sensors, 2022 - mdpi.com
Machine learning (ML) has been widely used worldwide to develop crop yield forecasting
models. However, it is still challenging to identify the most critical features from a dataset …

A modified genetic algorithm and weighted principal component analysis based feature selection and extraction strategy in agriculture

KA Shastry, HA Sanjay - Knowledge-Based Systems, 2021 - Elsevier
Data pre-processing is a technique that transforms the raw data into a useful format for
applying machine learning (ML) techniques. Feature selection (FS) and feature extraction …

[PDF][PDF] Quest for Empirical Solution to Runoff Prediction in Nigeria via Random Forest Ensemble: Pilot Study

BO Malasowe, BE Edim, W Adigwe… - … in Multidisciplinary & …, 2024 - unidel.edu.ng
Environmental factors and features often change to result in either harsh weather conditions
or rainfall, which often calms the weather as well as provides fast, significant downstream …