This study explores the efficacy of combining forecasts using the median operator to enhance forecasting performance. The traditional approach of assigning equal weights to individual models often struggles with extreme forecasts. A new method Simple Combination of Univariate Mod...
Open access
Research Article10.9734/jeai/2024/v46i82782
Supersaturated designs (SSDs) are crucial in factor screening experiments, especially when factor sparsity is assumed, meaning only a few factors are expected to be significant. Building on the foundational work of Jones and Majumdar [1], who introduced the UE(\(S^2 )\) criterio...
Open access
Research Article10.9734/jsrr/2024/v30i82304
B. Manjunatha, Karthik R., N. R. Kiran, Appaji Pundalik Naik, Damodhara G. N., Gunashekhar H., Manju Prem S. & K. R. Mahendra·Journal of Scientific Research and Reports·2024
Hidden Markov Models (HMMs) are effective statistical techniques used to uncover underlying patterns in observable sequential data This paper provides a comprehensive overview of the theoretical foundations of HMMs, including key algorithms essential for their implementation, suc...
Open access
Research Article10.9734/jsrr/2024/v30i82303
B. Manjunatha, Appaji Pundalik Naik, K. R. Mahendra, Manju Prem S., Gunashekhar H., N. R. Kiran, Damodhara G. N. & Karthik R.·Archives of Current Research International·2024
Multi-Dimensional Scaling (MDS) is a data visualization method that identifies clusters of points by representing the distances or dissimilarities between sets of objects in a lower-dimensional space. This paper explores the theoretical concepts of MDS, various methods of impleme...
Open access
Research Article10.9734/acri/2024/v24i6814
The present study was conducted at Agricultural and Horticultural Research station, Kathalagere, Karnataka. The experiment consisted of sixty four rice genotypes that were evaluated to study genetic variability, heritability and genetic advance for grain yield along with four yie...
Open access
Research Article10.9734/JEAI/2019/42305
A. Meena, B. Manjunatha, A. Anil Kumar, Jhade Sunil, S. Vishnu Shankar, M. Manjubala, Abinayarajam D & Himanshu Sekhar Behera·Archives of Current Research International·2024
Spatial econometrics in agriculture focuses on modelling spatial dependencies in data, recognizing that agricultural outcomes are often influenced by geographic proximity and spatial interactions. This approach acknowledges that agricultural phenomena, such as crop yields, pest o...
Open access
Research Article10.9734/acri/2024/v24i6807
Background: The creation of genetic variability in a gene pool is the prerequisite of a breeding program. To introduce a higher degree of variability and to identify favourable recombinants, a combination of hybridization and mutation methods is employed. Among various diseases i...
Open access
Research Article10.9734/jabb/2025/v28i22062
H. Gunashekhar, M. Sreenivasulu, B. Manjunatha, Dayananda Patil, S. Manju Prem, G. N. Damodhara, N. R. Kiran, Priyanka B N & Harishkumar J.·Archives of Current Research International·2024
Agriculture in India sustains over half the population, faces a critical challenge as its youth disengage from this sector due to low incomes and high risks, which impedes agricultural reform and competitiveness in the global food market. In 2021, a study was conducted in Karnata...
Open access
Research Article10.9734/acri/2024/v24i8855
Stock prices present unique forecasting challenges due to factors such as market volatility, investor sentiment, and economic indicators, which contribute to significant fluctuations in time series data. This paper addresses these complexities by applying Deep Learning (DL) model...
Open access
Research Article10.9734/jsrr/2024/v30i92373
Agricultural commodity prices exhibit unique challenges due to seasonality, inelastic demand, and production uncertainty, leading to significant fluctuations in time series data. This paper explores these complexities by applying Deep Learning (DL) models to forecast agricultural...
Open access
Research Article10.9734/jeai/2024/v46i92833
Dayananda Patil, Sujeet K Jha, B. Manjunatha, Arun C Kanagalabavi, Parashuram Kambale, Meshram Pankaj Moreshwar, Chethan Patil N. D & Gunashekhar H·Journal of Scientific Research and Reports·2024
The Green Revolution successfully achieved food security but also brought about new challenges, such as decreasing factor productivity and inefficient nutrient utilization. As concerns about food safety, environmental sustainability, and climate change continue to grow, Zero Budg...
Open access
Research Article10.9734/jsrr/2024/v30i92362
A field experiment was conducted at Indian Institute of Rice Research, Rajendranagar, Hyderabad to decipher diversity and relative abundance of insect pests, Hemipteran predators and Hymenopteran parasitoids in Bacillus treated rice crop during Rabi, 2020. Yellow pan traps, visua...
Open access
Research Article10.9734/jeai/2024/v46i82723
An investigation was carried out to estimate genetic parameters, assess association and path coefficient analysis among growth, yield and yield attributes in Multiparent Advanced Generation Intercross (MAGIC) lines of Rice (Oryza sativa L.). A total of 100 MAGIC lines along with...
Open access
Research Article10.9734/ijecc/2023/v13i123716
An investigation on the efficacy of paddy residue and nutrient management approaches on growth, yield and nutrient uptake by paddy was conducted during kharif and rabi-summer seasons of 2019-20 and 2020-21 at Gabbur village, Raichur, Karnataka, India. The experiment was laid out...
Open access
Research Article10.9734/ijpss/2022/v34i2331607
A novel method for rainfall forecasting has been proposed using Multi Resolution Analysis (MRA). This approach decomposes annual rainfall series and long-term climate indices into component sub-series at different temporal scales, allowing for a more detailed analysis of the fact...
Open access
Research Article10.9734/ijecc/2023/v13i51755