Application of machine learning techniques in rice leaf disease detection

Disease Detection ◽

Rice Leaf ◽

Leaf Disease ◽

Rice Leaf Disease Detection Using Machine Learning Techniques

2019 International Conference on Sustainable Technologies for Industry 4.0 (STI) ◽

10.1109/sti47673.2019.9068096 ◽

2019 ◽

Cited By ~ 2

Author(s):

Kawcher Ahmed ◽

Tasmia Rahman Shahidi ◽

Syed Md. Irfanul Alam ◽

Sifat Momen

Keyword(s):

Machine Learning ◽

Disease Detection ◽

Rice Leaf ◽

Leaf Disease ◽

Computer Networks and Inventive Communication Technologies - Lecture Notes on Data Engineering and Communications Technologies ◽

Plant Leaf Disease Detection Using Machine Learning Techniques

10.1007/978-981-15-9647-6_40 ◽

2021 ◽

pp. 511-518

Author(s):

K. Sudha Rani ◽

B. Priya Madhuri

Keyword(s):

Machine Learning ◽

Disease Detection ◽

Plant Leaf ◽

Leaf Disease ◽

Examination on Advanced Machine Learning Techniques for Plant Leaf Disease Detection from Leaf Imagery

Journal of Critical Reviews ◽

10.31838/jcr.07.05.227 ◽

2020 ◽

Vol 7 (05) ◽

Keyword(s):

Machine Learning ◽

Disease Detection ◽

Plant Leaf ◽

Leaf Disease ◽

Thyroid Disease Detection and Classification using Machine Learning Techniques A Review

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i3.11211125 ◽

2019 ◽

Vol 7 (3) ◽

pp. 1121-1125

Author(s):

Anuradha Shyam ◽

Mohanrao Mamdikar ◽

Pooja Patre

Keyword(s):

Machine Learning ◽

Thyroid Disease ◽

Disease Detection ◽

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) ◽

Alzheimer’s Disease Detection using Machine Learning Techniques in 3D MR Images

10.1109/ncetstea48365.2020.9119923 ◽

2020 ◽

Author(s):

Srinivasan Aruchamy ◽

Amrita Haridasan ◽

Ankit Verma ◽

Partha Bhattacharjee ◽

Sambhu Nath Nandy ◽

...

Keyword(s):

Machine Learning ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Disease Detection ◽

Mr Images ◽

2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) ◽

A Leaf Disease Classification Model in Betel Vine Using Machine Learning Techniques

10.1109/icrest51555.2021.9331142 ◽

2021 ◽

Author(s):

Md Zahid Hasan ◽

Nahid Zeba ◽

Md. Abdul Malek ◽

Sanjida Sultana Reya

Keyword(s):

Machine Learning ◽

Disease Classification ◽

Classification Model ◽

Leaf Disease ◽

SKIN DISEASE DETECTION USING MACHINE LEARNING TECHNIQUES

Journal of Xidian University ◽

10.37896/jxu15.4/022 ◽

2021 ◽

Vol 15 (4) ◽

Keyword(s):

Machine Learning ◽

Skin Disease ◽

Disease Detection ◽

Proceedings of Data Analytics and Management - Lecture Notes on Data Engineering and Communications Technologies ◽

Design of an iOS App Architecture for Cotton Plant Disease Detection Using Artificial Intelligence and Machine Learning Techniques

10.1007/978-981-16-6289-8_55 ◽

2022 ◽

pp. 679-690

Author(s):

Sandeep Kumar ◽

Rajeev Ratan ◽

J. V. Desai

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Cotton Plant ◽

Plant Disease ◽

Disease Detection ◽

Sustainable Communication Networks and Application - Lecture Notes on Data Engineering and Communications Technologies ◽

Dissimilar Disease Detection Using Machine Learning Techniques for Variety of Leaves

10.1007/978-981-15-8677-4_5 ◽

2021 ◽

pp. 57-71

Author(s):

Varshini Kadoli ◽

Karuna C. Gull ◽

Seema C. Gull

Keyword(s):

Machine Learning ◽

Disease Detection ◽

2019 International Conference on Computational Intelligence in Data Science (ICCIDS) ◽

Grape Leaf Disease Identification using Machine Learning Techniques

10.1109/iccids.2019.8862084 ◽

2019 ◽

Cited By ~ 3

Author(s):

S.M. Jaisakthi ◽

P. Mirunalini ◽

D. Thenmozhi ◽

Vatsala

Keyword(s):

Machine Learning ◽

Leaf Disease ◽

Disease Identification ◽

Learning Techniques ◽

Grape Leaf