A Recommended System for Crop Disease Detection and Yield Prediction Using Machine Learning Approach

Crop Disease

Intelligent Data Communication Technologies and Internet of Things - Lecture Notes on Data Engineering and Communications Technologies ◽

Hybrid Machine Learning Approach for Skin Disease Detection Using Optimal Support Vector Machine

10.1007/978-3-030-34080-3_73 ◽

2019 ◽

pp. 647-658

Author(s):

K. Melbin ◽

Y. Jacob Vetha Raj

Keyword(s):

Machine Learning ◽

Support Vector Machine ◽

Skin Disease ◽

Support Vector ◽

Disease Detection ◽

Learning Approach ◽

Hybrid Machine

Parkinson’s disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study

PLoS ONE ◽

10.1371/journal.pone.0236258 ◽

2020 ◽

Vol 15 (7) ◽

pp. e0236258

Author(s):

Milla Juutinen ◽

Cassia Wang ◽

Justin Zhu ◽

Juan Haladjian ◽

Jari Ruokolainen ◽

...

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Case Control Study ◽

Inertial Sensors ◽

Case Control ◽

Disease Detection ◽

Learning Approach ◽

Walking Tests ◽

Control Study

California Almond Yield Prediction at the Orchard Level With a Machine Learning Approach

Frontiers in Plant Science ◽

10.3389/fpls.2019.00809 ◽

2019 ◽

Vol 10 ◽

Cited By ~ 8

Author(s):

Zhou Zhang ◽

Yufang Jin ◽

Bin Chen ◽

Patrick Brown

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Yield Prediction ◽

2020 5th International Conference on Communication and Electronics Systems (ICCES) ◽

Supervised Machine learning Approach for Crop Yield Prediction in Agriculture Sector

10.1109/icces48766.2020.9137868 ◽

2020 ◽

Author(s):

Y. Jeevan Nagendra Kumar ◽

V. Spandana ◽

V.S. Vaishnavi ◽

K. Neha ◽

V.G.R.R. Devi

Keyword(s):

Machine Learning ◽

Crop Yield ◽

Supervised Machine Learning ◽

Learning Approach ◽

Yield Prediction ◽

Agriculture Sector ◽

A Machine Learning Approach Towards Fatty Liver Disease Detection in Liver Ultrasound Images

Bildverarbeitung für die Medizin 2021 - Informatik aktuell ◽

10.1007/978-3-658-33198-6_21 ◽

2021 ◽

pp. 86-91

Author(s):

Adarsh Kuzhipathalil ◽

Anto Thomas ◽

Keerthana Chand ◽

Elmer Jeto Gomes Ataide ◽

Alexander Link ◽

...

Keyword(s):

Machine Learning ◽

Liver Disease ◽

Fatty Liver ◽

Fatty Liver Disease ◽

Disease Detection ◽

Learning Approach ◽

Ultrasound Images ◽

Liver Ultrasound ◽

International Conference on Intelligent Computing and Smart Communication 2019 - Algorithms for Intelligent Systems ◽

Machine Learning Approach for Crop Yield Prediction Emphasis on K-Medoid Clustering and Preprocessing

10.1007/978-981-15-0633-8_27 ◽

2019 ◽

pp. 287-299

Author(s):

Huma Khan ◽

S. M. Ghosh

Keyword(s):

Machine Learning ◽

Crop Yield ◽

Learning Approach ◽

Yield Prediction ◽

A Machine Learning Approach for Estimating Crop Damage based on Leaf Disease Detection

International Journal of Research in Advent Technology ◽

10.32622/ijrat.74201910 ◽

2019 ◽

Vol 7 (4) ◽

pp. 20-24

Author(s):

Dr.T.M.N. Vamsi, ◽

Pavan Roy Jarjana, ◽

Suvarna Mogalapalli, ◽

Chakradhar Yadav Golagani

Keyword(s):

Machine Learning ◽

Crop Damage ◽

Disease Detection ◽

Learning Approach ◽

Leaf Disease ◽

Rare Disease Detection and Physician Targeting: A Factor Graph Machine Learning Approach

SSRN Electronic Journal ◽

10.2139/ssrn.3546969 ◽

2020 ◽

Author(s):

Yong Cai ◽

Qiang Liu ◽

Chao Shi ◽

Yunlong Wang ◽

Fan Zhang

Keyword(s):

Machine Learning ◽

Rare Disease ◽

Factor Graph ◽

Disease Detection ◽

Learning Approach ◽

New spectral indicator Potato Productivity Index based on Sentinel-2 data to improve potato yield prediction: a machine learning approach

International Journal of Remote Sensing ◽

10.1080/01431161.2020.1871102 ◽

2021 ◽

Vol 42 (9) ◽

pp. 3426-3444

Author(s):

Diego Gómez ◽

Pablo Salvador ◽

Julia Sanz ◽

José Luis Casanova

Keyword(s):

Machine Learning ◽

Potato Yield ◽

Productivity Index ◽

Learning Approach ◽

Yield Prediction ◽

Sentinel 2

Constructing and Validating Geographically Refined HAZUS-MH4 Hurricane Wind Risk Models: A Machine Learning Approach

Advances in Hurricane Engineering ◽

10.1061/9780784412626.092 ◽

2012 ◽

Cited By ~ 2

Author(s):

D. Subramanian ◽

J. Salazar ◽

L. Duenas-Osorio ◽

R. Stein

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Risk Models ◽

Hurricane Wind ◽