Thumbnail Image

University of Agricultural Sciences, Bengaluru

University of Agricultural Sciences Bangalore, a premier institution of agricultural education and research in the country, began as a small agricultural research farm in 1899 on 30 acres of land donated by Her Excellency Maharani Kempa Nanjammanni Vani Vilasa Sannidhiyavaru, the Regent of Mysore and appointed Dr. Lehmann, German Scientist to initiate research on soil crop response with a Laboratory in the Directorate of Agriculture. Later under the initiative of the Dewan of Mysore Sir M. Vishweshwaraiah, the Mysore Agriculture Residential School was established in 1913 at Hebbal which offered Licentiate in Agriculture and later offered a diploma programme in agriculture during 1920. The School was upgraded to Agriculture Collegein 1946 which offered four year degree programs in Agriculture. The Government of Mysore headed by Sri. S. Nijalingappa, the then Chief Minister, established the University of Agricultural Sciences on the pattern of Land Grant College system of USA and the University of Agricultural Sciences Act No. 22 was passed in Legislative Assembly in 1963. Dr. Zakir Hussain, the Vice President of India inaugurated the University on 21st August 1964.

Browse

20221
Reset filters
Subject: Agricultural Statistics and Informatics × Author: ANIL KUMAR, B. S × Start date: 2014 × Type: Thesis ×
Reset filters

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    ThesisItemEmbargo
    RISK ESTIMATION AND PREDICTION OF BLACK QUARTER DISEASE OUTBREAK AMONG CATTLE IN KARNATAKA: A STATISTICAL APPROACH
    (2022-12-15) ANIL KUMAR, B. S; MALLIKARJUN B. HANJI
    Cattle suffer from various diseases, Black Quarter (BQ) disease is one among them, and it is highly fatal disease, caused by Clostridium chauvoei. Hence, a study is carried out on Risk Estimation and Prediction of BQ disease outbreak among Cattle in Karnataka: a statistical approach by collecting 11 years secondary data from 2010 to 2020. Data were analysed using appropriate statistical tools through R software. Results indicated that the Spatial endemicity reveals Hassan district has got more outbreak of BQ disease during the period. Six districts namely Tumakuru, Mandya, Mysuru, Kodagu, Chikkamagaluru and Dakshina Kannada were identified as disease hotspot through Spatial autocorrelation. Space-time cluster analysis reveals that, Hassan district has high Relative Risk of 11.02 and Vijayapura, Raichur, Koppal, Bagalakote, Belagavi, Gadag, Dharwad, Udupi, Uttara Kannada, Haveri, Chitradurga, Shivamogga, Davanagere, Ballari, Chikkamagaluru together (0.25). Factors such as EVI, LST, PET, Rain precipitation rate, Soil moisture, Surface pressure and Wind speed significantly associated with the BQ disease outbreak during Linear discriminant analysis. Among the five different models (GBM, RF, MARS, NB and SVM) adopted, RF and GBM models performed better for predicting the risk with AUC values 0.837 and 0.823, respectively. The average model (combination of GBM and RF model) risk prediction analysis, showed that the districts Mysuru, Mandya, Ramanagara, Chamarajanagar, Kolar, Bengaluru Rural, Chikkaballapura, Bengaluru Urban and Chikkamagaluru were in high heavy risk.