Artificial Intelligence and Communication Technologies
Computational Model for Pepper Yield Prediction Using Support Vector Regression
Authors: Akhil Wilson, Raji Sukumar and Hemalatha N
Publishing Date: 09-03-2023
ISBN: 978-81-955020-5-9
Abstract
The yield prediction is the one of the challenging problem in agriculture. Here in this research work we have predicted the yield of Pepper in the state of Kerala, India. With the help of Machine Learning and by considering the soil properties, micro climatic condition and area of the Pepper we have predicted the yield. Here we have used Linear Regression and Support Vector Regression algorithms in order to predict the pepper yield. Experimental results gave best accuracy of 97.685% for Support Vector Regression.
Keywords
Agriculture, Pre-processing, Analysis, Regression, prediction.
Cite as
Akhil Wilson, Raji Sukumar and Hemalatha N, "Computational Model for Pepper Yield Prediction Using Support Vector Regression", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2023, pp. 779-788. https://doi.org/10.52458/978-81-955020-5-9-73