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Exploration of machine learning models to predict the environmental and remote sensing risk factors of haemonchosis in sheep flocks of Rajasthan, India

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Title Exploration of machine learning models to predict the environmental and remote sensing risk factors of haemonchosis in sheep flocks of Rajasthan, India
Not Available
 
Creator Suresh KP
Sengupta PP
Jacob SS
Sathyanarayana MKG
Patil SS
Swarnkar CP
Singh D
 
Subject Basic reproduction number
Climatic variables
Haemonchosis
Risk factors
Sheep
 
Description Not Available
Globally haemonchosis in sheep is a known devastating disease imposing considerable economic loss. Understanding the environmental risk factors and their role is essentially required to manage the disease successfully. In this study, 14 years' disease data was analysed to predict the risk factors responsible for the occurrence of the disease. Season-wise analysis revealed high incidence during monsoon and post-monsoon and least in winter and summer seasons. The linear discriminant analysis (LDA) revealed the significant environmental and remote sensing risk factors contributing to haemonchosis incidence as enhanced vegetation index, leaf area index, potential evapotranspiration and specific humidity. Further, significant ecological and environmental risk factors identified using LDA were subjected to the climate-disease modelling and risk maps were generated. Basic reproduction number (R0) was estimated and was ranged from 0.76 to 2.08 for >1000 egg per gram of faeces (EPG) in four districts whereas R0 values of 1.09-1.69 for >2000 EPG in three districts indicating the severity of the infection. The random forest and adaptive boosting models emerged out as best fitted models for both the EPG groups. The results of the study will help to focus on high-risk areas of haemonchosis in sheep to implement the available control strategies and better animal production globally.
Not Available
 
Date 2023-04-12T07:15:16Z
2023-04-12T07:15:16Z
2022-05-25
 
Type Research Paper
 
Identifier Suresh KP, Sengupta PP, Jacob SS, Sathyanarayana MKG, Patil SS, Swarnkar CP, Singh D. Exploration of machine learning models to predict the environmental and remote sensing risk factors of haemonchosis in sheep flocks of Rajasthan, India. Acta Trop. 2022 Sep;233:106542. doi: 10.1016/j.actatropica.2022.106542. Epub 2022 May 25. PMID: 35643184.
0001-706X
http://krishi.icar.gov.in/jspui/handle/123456789/76799
 
Language English
 
Relation Not Available;
 
Publisher Elsevier