Predictive Modelling to Forecast the Crop Yield and Classification of Plant Diseases

Merkaje Ravi, Shreya (2020) Predictive Modelling to Forecast the Crop Yield and Classification of Plant Diseases. Masters thesis, Dublin, National College of Ireland.

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Abstract

With the increase in population, there is a requirement to increase food production. As per the Food and Agriculture Organization(FAO)1 around 60% of the world’s population practice agriculture. Production of crops is largely dependant on climate. Developing techniques to predict the yield of crops under various weather aspects will help the farmers in making better decisions regarding crops. Machine learning can be extensively used for predicting the yield of crops. In this paper, various machine learning algorithms are applied to predict crop yield. Along with this, the classification of different kinds of plant diseases is also carried out using a plant image dataset. Both regression and classification techniques are used for the first part and for the second part neural networks are used.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software S Agriculture > S Agriculture (General)
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Dan English
Date Deposited:	20 Jan 2021 17:14
Last Modified:	20 Jan 2021 17:14
URI:	https://norma.ncirl.ie/id/eprint/4407

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