Abstract:
Knowledge is the key for human thoughts and decision making. Developing a knowledge
based management system(KBS) to mimic human thought is a critical task in a way of
capturing the knowledge. Knowledge is generated from the experience and take long time
to learn, also domain based. In Agriculture specially in farm irrigation, the selection of
proper irrigation system plays vital role in sustainable crop production by taking attention
of scarcity of water. The selection of irrigation method depends on four dimensional areas
which are soil, water atmosphere and crop. Traditionally in on-farm water management,
the decision marking is based on the farmer’s perspective and mostly leads to over
irrigation or under irrigation. In this article, we trying to evaluate the performance of
Artificial Neural Network (ANN) to capture the knowledge from various history of
irrigation record and methods which are include fifteen irrigation parameters and four
irrigation methods such as drip, sprinkler, border and furrow irrigation. The parameters
are analysed and recorded in the data sheet with respective decision for ANN process.
ANN is the key for used to classify the classes based on the attributes, therefore The five
ANN classifier were selected for this study which are multilayer perceptron, support
vector machine (SVM), J48 IBK and naive Bayesian. Thorough this study, the above five
ANN classifiers were evaluated based on their performance by implementing the
algorithm for predicative knowledge based to the irrigation decision. In the beginning of
the study, more than twenty-five parameters were selected as attributes then they were
reduced as sixteen considering weightage contribution to accuracy in irrigation decision.
Based on the study, the multilayer perceptron shows the better performance with 99.7299
correctly identified instances as Irrigation decision, K = 0.996, MAE=0.0014 and
RMSE=0.0186 than other four classifiers. Finally, the multilayer perceptron was selected
to model the Predicative Knowledge Based System for Irrigation decision.
