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G. H. Harish Nayak

Publications (7)

Trends in Area, Production, and Productivity of Coffee in Chikkamagaluru District of Karnataka, India

G. H. Harish Nayak, A. Varalakshmi, M. G. Manjunath, G. Avinash, Veershetty & Moumita Baishya · Journal of Experimental Agriculture International · 2023

Coffee is a significant commodity crop worldwide, and Karnataka, an Indian state with coffee-growing regions such as Chikkamagaluru, Kodagu, and Hassan, is a major producer. Chikkamagaluru, also known as the Coffee Land of Karnataka, is the primary location for Arabica coffee pro...

Open access Research Article 10.9734/jeai/2023/v45i42113

Trend Analysis and Prediction of Rainfall Using Deep Learning Models in Three Sub-Divisions of Karnataka

G. H. Harish Nayak, A. Varalakshmi, M. G. Manjunath, Veershetty, G. Avinash & Moumita Baishya · Journal of Experimental Agriculture International · 2023

Precise estimation of rainfall is a crucial and challenging task in environmental science. It involves the use of advanced and powerful models to forecast non-linear and dynamic changes in rainfall. Deep learning, a recently developed method for handling vast amounts of data and...

Open access Research Article 10.9734/jeai/2023/v45i42114

Enhancing Agricultural Commodity Price Forecasting Using Generative Models: A Deep Learning Approach

G. Avinash, G. H. Harish Nayak, Moumita Baishya, B. Samuel Naik & Karthik V.C. · Journal of Scientific Research and Reports · 2024

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 Article 10.9734/jsrr/2024/v30i102424

Trend and Forecasting of Area, Production and Productivity of Mango Crop in Karnataka, India

A. Varalakshmi, G. H. Harish Nayak, M. G. Manjunath & H. T. Vinay · Journal of Experimental Agriculture International · 2023

The current study was carried out to analyze the trend and forecast in area, production and productivity of mango crop in Karnataka. It was determined by using the secondary data of area, production and productivity of mango for the period of 18 years (2000-01 to 2017-18) was col...

Open access Research Article 10.9734/jeai/2023/v45i52116

Effect of Socio-Economic and Demographic Characteristics on Agricultural Labourers Migration in Bidar District of Karnataka, India

Veershetty, A. Muhsina, Mutteppa Chigadolli, G. H. Harish Nayak, G. Avinash, Moumita Baishya & S. N. Megeri · Asian Journal of Agricultural Extension, Economics & Sociology · 2023

The study was carried out in the Bidar district of Kalyana Karnataka where a people's migration is big. Three talukas were chosen based on the highest labour force from the district. In specific, they were Bidar, Bhalki, and Basavakalyan. In random selection, four villages from e...

Open access Research Article 10.9734/ajaees/2023/v41i92100

Volume and Status of Agricultural Labourers’ Migration in Bidar District, Karnataka, India

Veershetty, A. Muhsina, Mutteppa Chigadolli, G. H. Harish Nayak, G. Avinash, Moumita Baishya & S. N. Megeri · Journal of Experimental Agriculture International · 2023

The study was carried out in the Bidar district of Kalyana Karnataka where a people's migration is big. Three talukas were chosen based on the highest labour force from the district. In specific, they were Bidar, Bhalki, and Basavakalyan. In random selection, four villages from e...

Open access Research Article 10.9734/jeai/2023/v45i92182

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