Open Accesscomprehensive approach on predicting the crop yield using hybrid machine learning algorithms
Author(s) -
Krithikha Sanju Saravanan,
Velammal Bhagavathiappan
Publication year - 2022
Publication title -
journal of agrometeorology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 11
eISSN - 2583-2980
pISSN - 0972-1665
DOI - 10.54386/jam.v24i2.1561
Subject(s) - mean squared error , artificial neural network , adaboost , mean absolute percentage error , machine learning , artificial intelligence , statistics , yield (engineering) , crop yield , mathematics , regression , computer science , pattern recognition (psychology) , support vector machine , agronomy , materials science , metallurgy , biology
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom