Open AccessBIG DATA APPLICATION IN THE NEYMAN-PEARSON REGRESSION AND DEEP BERNOULLI AND BOLTZMANN FOR IOT BASED SOIL QUALITY PREDICTION
Author(s) -
G. Balaji,
P. Vijayakumar
Publication year - 2022
Publication title -
siberian journal of life sciences and agriculture
Language(s) - English
Resource type - Journals
eISSN - 2658-6657
pISSN - 2658-6649
DOI - 10.12731/2658-6649-2022-14-1-262-285
Subject(s) - big data , soil quality , feature selection , computer science , data mining , random forest , reliability (semiconductor) , machine learning , artificial intelligence , environmental science , soil science , soil water , power (physics) , physics , quantum mechanics