Halesha P

Enhanced Tobacco Yield Prediction Using Spatial Information and Exogenous Variable-driven Machine Learning Models

B. Samuel Naik, V C Karthik, Veershetty, B S Varshini, A S B Sujith, Halesha P, S Govinda Rao & G. H. Harish Nayak · Journal of Scientific Research and Reports · 2024

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 Article 10.9734/jsrr/2024/v30i92401

Advanced Potato Price Prediction through N-BEATS Deep Learning Architecture

V C Karthik, B. Samuel Naik, B. Manjunatha, Veershetty, A S B Sujith, Halesha P & Harish Nayak, G. H. · Journal of Experimental Agriculture International · 2024

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 Article 10.9734/jeai/2024/v46i92833

Stock Price Forecasting using N-Beats Deep Learning Architecture

B. Samuel Naik, V C Karthik, B. Manjunatha, Veershetty, Harish Nayak, G. H., B S Varshini, Halesha P & S Govinda Rao · Journal of Scientific Research and Reports · 2024

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 Article 10.9734/jsrr/2024/v30i92373