A5024472494- Agricultural Economics and Practices
- Livestock Management and Performance Improvement
- Rice Cultivation and Yield Improvement
- Agricultural Science and Fertilization
- Agricultural risk and resilience
- Weed Control and Herbicide Applications
- Precipitation Measurement and Analysis
- Agronomic Practices and Intercropping Systems
- Spatial and Panel Data Analysis
- Humic Substances and Bio-Organic Studies
- Forecasting Techniques and Applications
- Regional Economic and Spatial Analysis
- Plant Micronutrient Interactions and Effects
- Soil Carbon and Nitrogen Dynamics
- Plant responses to water stress
- Indian Economic and Social Development
- Papaya Research and Applications
- Agricultural Systems and Practices
- Smart Agriculture and AI
- Banking, Crisis Management, COVID-19 Impact
- Clay minerals and soil interactions
- Essential Oils and Antimicrobial Activity
- Plant Physiology and Cultivation Studies
- Bee Products Chemical Analysis
- Hydrological Forecasting Using AI
Visva-Bharati University
2014-2022
Nagaland University
2009-2010
The study was conducted in 2019 to know the constraints perceived by organic turmeric farmers Kandhamal District of Odisha. considered 7 major dimensions under which 30 were considered; data suitably analyzed with help principal component analysis. result these is further divided into several components based on Eigenvalue. Under general constraints, 4 identified Eigen Value 3.055, 1.871, 1.278, 1.058 sequentially leveled as scarce manure, inaccessible microbiological tools, poor resource...
The study was conducted during 2018 to know the constraints perceived by vegetable growers towards excessive use of chemicals in Bankura district West Bengal. This followed ex-post and expletory research design with considering 27 constraints, which data suitably analyses help principal component analysis. results these were divided into six components on basis Eigen rules. had greater than one value 6.265, 2.59, 2.292, 1.421, 1.216 1.086 respectively. first having Eigenvalue 6.265 labeled...
Background : The growth rate in agriculture refers to the increase agricultural productivity over a specific period of time where as Instability is fluctuations and uncertainties various factors that affect sector which creates major challenges for farmers farming industry. present study conducted examine instability area, production selected cereal, millet oilseed crop Odisha. Methods: whole divided into two subperiod, I (1970-71 1994-95) Period II (1995-96 2019-20). Cuddy Della Valle Index...
The growth rate and instability of mango production is studied for the period 1992-93 to 2013-14. For studying rate, linear compound models are fitted with without spline. Spline model take care abrupt jumps in data evaluate change trend time series data.The entire study divided into two sub-periods, 2002-03 as sub period-I 2003-04 2013-14 sub-period-II there maximum percentage area, yield year 2002-03. best selected by considering evaluation criteria, such as, Adj. R2 Root Mean Square Error...
The study was conducted in Akola district of Maharashtra, collecting data from 120 onion growers using structured interview schedule. Randomly 24 growing farmers were selected each five villages constituted a sample size farmers. majority the respondents (70.83%) found to be middle age group (between 37 56 years) with OBC caste (59.17%) growers, most (71.67%) having level education. mainstream (78.33%) medium family (3-8) members and (89.16%) are only agriculture as an occupation. Where,...
The women folk are considered the backbone of nation and better half men in almost all spheres community development. Rural constitute about 50% total rural population. present study was conducted Surguja district Chhattisgarh to know extent participation decision-making process dairy farming. Data were collected from 120 using a structured interview schedule. 30 farmers chosen each selected village thus constituting sample size by simple random method. showed that five components have...
The present experiment was conducted at the Department of Horticulture, Indira Gandhi Krishi Vishwavidyalaya, Raipur (Chhattisgarh) during winter season to evaluate effect weed management practices on growth and flowering chrysanthemum.The consisted eleven treatments comprising hand weeding, mulching, herbicides unweeded check replicated three times in randomized block design.Maximum plant height, spread number branches -1 were recorded application pendimethalin (extra) @ 0.64 kg ha +one...
Rice is the staple food of Odisha in terms area, production and yield.System Intensification (SRI) involves adoption changes management practices rice cultivation creating a favourable condition for crop growth with less utilization inputs.Despite benefits, SRI has not adopted by farmers as expected state.This paper attempted to analyse perception regarding major constraints hindering widespread different categories (i.e.adopters, dropouts non-adopters) state positive impact SRI.The study...
Fitting of an appropriate model to observed time series data for the purpose predicting future values efficiently is always a challenging task. The practitioners statistics in their first attempt try fit parametric regression data. For all models be fitted, it assumed that errors follow independent normal distributions. If assumption on error distribution not satisfied, then we should search alternative procedure. Here, propose nonparametric procedure as and study its performance. In present...
Abstract Spatio-temporal forecasting has various applications in climate, transportation, geo-statistics, sociology, economics and many other fields of study. The modelling temperature it is a challenging task due to spatial dependency time series data nonlinear nature. To address these challenges, this study we proposed hybrid Space-Time Autoregressive Moving Average-Generalized Conditional Heteroscadicity (STARMA-GARCH) model order describe identify the behaviour monthly maximum range...
A reliable, pre-harvest, crop yield prediction based on meteorological factors is important to anticipate adverse effect of weather variables. Discriminant score-based regression models, MLP artificial neural network (ANN) and regression-ANN hybrid models were used model potato (Solanum tuberosum L.) yield. Maximum minimum temperatures, rainfall, relative humidity, their indices, obtain discriminant scores for each year. These scores, along with a time variable, as inputs outputs the...