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Sanam Noor
Sanam Noor
Pakistan
Publications
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Research Article
Performance Analysis of Regression-Machine Learning Algorithms for Predication of Runoff Time
Author(s): Marwan Khan and Sanam NoorMarwan Khan and Sanam Noor
Worldwide 70 percent of water is used in agriculture practices, in which 50% of water is lost due to improperly planned and inefficient irrigation system. Precision irrigation system has long been used on individual farms scale. Very rare work has been done so far to utilize the excessive irrigation water of one farm in another farm. In this research, we address the problem of predicting the runoff time between two farms. We propose Runoff time model which accepts irrigation depth, soil moisture and crop stage (CN) and time of concentration as input parameters and estimate runoff time. Machine learning algorithms i.e., Multiple Linear Regression (MLR), Artificial Neural Network-Levenberg Marquardt (LMA-ANN), Decision Trees/Regression Tree (DT/RT) and Least Square Support Vector Regression (LS-SVR) have been used for learning and predication purposes. A com.. View More»
DOI: 10.35248/2168-9881.19.8.187