Machine learning in cereal crops disease detection: a review
Cereals are an important and major source of the human diet. They constitute more than two-
thirds of the world's food source and cover more than 56% of the world's cultivatable land …
thirds of the world's food source and cover more than 56% of the world's cultivatable land …
Novel cropdocnet model for automated potato late blight disease detection from unmanned aerial vehicle-based hyperspectral imagery
The accurate and automated diagnosis of potato late blight disease, one of the most
destructive potato diseases, is critical for precision agricultural control and management …
destructive potato diseases, is critical for precision agricultural control and management …
Classification of rice leaves diseases by deep CNN-transfer learning approach for improved Rice Agriculture
M Moiz, M Akmal, MS Ishtiaq… - … Conference on Emerging …, 2022 - ieeexplore.ieee.org
Rice leaves may suffer serious impacts such as low production or yield of the respective
products if necessary precautions are not taken. Therefore, to ensure the healthy and normal …
products if necessary precautions are not taken. Therefore, to ensure the healthy and normal …
Paddy Leaf Disease Classification Using Machine Learning and Deep Learning Techniques
PS Duth, PR Lal - 2022 International Conference on Futuristic …, 2022 - ieeexplore.ieee.org
Rice is the main food in nearly every tropical and subtropical country on the planet. This
demands the care and ensuring of rice fields spanning several hectares. Farmers face a …
demands the care and ensuring of rice fields spanning several hectares. Farmers face a …
[PDF][PDF] Infectious diseases of Rice plants classified using a deep learning-powered Least Squares Support Vector Machine Model
NVR Goluguri, CH Prathima - vol, 2022 - ijcse.com
In the field of agriculture, identifying and classifying Oryza Sativa diseases is always a hot
research topic. Almost in all the states of India, Oryza Sativa (rice) is cultivated as a …
research topic. Almost in all the states of India, Oryza Sativa (rice) is cultivated as a …
Automatic rice crop extraction using edge based color features and color indices
C Pal, S Pratihar, S Chatterji… - 2022 2nd Asian …, 2022 - ieeexplore.ieee.org
Crop segmentation is an essential stage of pre-processing for many automatic plant disease
detection systems. Crop extraction process separates the vegetation from the background of …
detection systems. Crop extraction process separates the vegetation from the background of …
Hybrid Classification Approach with Textural Feature Analysis for Plant Disease Detection
R Kumar, V Jindal - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
The significant task of image processing in the domain of plant disease is of diagnosing the
diseases occurred on plants because much complicated data is employed as input. Different …
diseases occurred on plants because much complicated data is employed as input. Different …