International Scientific Journal of Engineering and Management

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Survey on Machine Learning Techniques on Evapotranspiration Method in Agriculture

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Survey on Machine Learning Techniques on Evapotranspiration Method in Agriculture

Sivasankari N *1

*1Associate Professor, Department of ECE, Mepco Schlenk Engineering College, Sivakasi, Tamilnadu, India

ABSTRACT

Artificial intelligence models (AI-M), Machine learning Models, Neural networks model (NN-M) and adaptive neuro fuzzy interface systems (ANFIS-M) methods gained attention now to provide accurate prediction. These prediction methods are utilized in all fields, medical fields, cyber security fields, Astronomical fields. Anyway, these models may produce some inconsistent results. To overcome these results inconsistency, hybridization in the of ML-M, AI-M, ANFIS-M models are coming one by one with their own innovations. This paper aims to consolidate the works to predict daily evapotranspiration level that will manage the water requirements appropriately.

 

Keywords: Full duplex, self-interference, mutual coupling, envelope correlation coefficient, Gain


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