Remote sensing technology has been essential in studying the relationship between tobacco canopy spectral characteristics and biomass yield. This study has been conducted in Garnepudi, Andhra Pradesh, employed satellite imagery obtained between 2015 and 2023 to extract vegetation...
Open access
Research Article10.9734/jsrr/2024/v30i92401
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
Model-assisted estimators have gained significant attention due to their ability to efficiently utilize auxiliary information during the estimation process. These estimators rely on a working model that links the survey variable to the auxiliary variables, which is then fitted to...
Open access
Research Article10.9734/jsrr/2024/v30i92398
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
The dairy sector in India, often referred to as the "milk bowl of the world," is a cornerstone of the nation's agricultural economy. A2 milk, derived from native Indian cow breeds, is gaining popularity due to its perceived health benefits over conventional milk. The research aim...
Open access
Research Article10.9734/ejnfs/2024/v16i81515
Predicting stock market prices is a critical yet challenging task in finance. Technical analysis, a widely used methodology in investment theory, involves forecasting price movements by analyzing historical market data. Recently, deep learning has gained prominence for its except...
Open access
Research Article10.9734/jsrr/2024/v30i102424