A Computer Based Image Processing Approach to Identify Rice Blast

A Lightweight Convolutional Neural Network for Rice Diseases Classification

MA Ismail, MR Rashid, KA Ahmad… - 2024 IEEE 14th …, 2024 - ieeexplore.ieee.org
Rice, also known as Oryza Sativa, is widely recognized as an important source of food crops
and a primary source of nutrients for human beings as it is rich in carbohydrates, providing a …
Spara Citera Relaterade artiklar

A comparison of K-nearest neighbour algorithm with random forest to improve the accuracy for prediction of blast disease in rice crop

KRM Tharun, S Ramesh, V Thiruchelvam… - AIP Conference …, 2024 - pubs.aip.org
In this study of this research is to improve in accuracy for blast disease in rice crops using K-
Nearest Neighbour Algorithm and compared with Random Forest Algorithm. To predict the …
Spara Citera Relaterade artiklar Alla 3 versionerna

Accurate Analysis of Blast Disease Prediction in Rice Crop Using Artificial Neural Network Algorithm Compared with Random Forest Algorithm

M Tharun Kumar Reddy, S Ramesh… - … Conference on Cyber …, 2023 - Springer
The proposed work is to find the blast disease in rice crops using artificial neural network
compared with random forest algorithm. To predict the rice blast illness, an artificial neural …
Spara Citera Relaterade artiklar Alla 3 versionerna