Predictive Study on the Occurrence of Wheat Blossom Midges Based on Gene Expression Programming with Support Vector Machines
Y Li, Y Lv, J Guo, Y Wang, Y Tian, H Gao, J He - Insects, 2024 - mdpi.com
Simple Summary In this study, we tackled an important issue in modern farming: predicting
plant pests and diseases more effectively. Traditional methods are slow and often incorrect …
plant pests and diseases more effectively. Traditional methods are slow and often incorrect …
FloraNet: An Approach to Prediction of Sea Buckthorn Disease based on a Convolutional Neural Network and a Random Forest Method
In the current study, FloraNet was used to present an improved method for diagnosing leaf
diseases in Sea Buckthorn. In the proposed model, Convolutional Neural Networks (CNN) …
diseases in Sea Buckthorn. In the proposed model, Convolutional Neural Networks (CNN) …
ANALYZING and COMPARING Random Forest and K-Nearest Neighbours for Effective Heart Disease Prediction
S Maity, MA Hossain, K Maji, S Mishra… - 2023 4th …, 2024 - ieeexplore.ieee.org
This study explores the transformative impact of machine learning (ML) algorithms on
various sectors, with a particular focus on healthcare and heart disease prediction. This …
various sectors, with a particular focus on healthcare and heart disease prediction. This …