Litcius/Paper detail

PREDICTION OF CROP YIELD USING MACHINE LEARNING

Karan Chaudhary, Farhana Kausar

2020International Journal of Engineering Applied Sciences and Technology102 citationsDOIOpen Access PDF

Abstract

Looking at the current situation faced by farmers, there is an increase in suicide rate over the years. Main reason behind it includes poverty, unpredictable weather, financial problem, parental issue and frequent change in Indian government norms. Education also plays an important role because due to lack of education they are not aware of the soil quality and the climatic change and sometimes farmer was not aware about the feasible crops. Because of lack of knowledge they are not aware of the soil quality, soil nutrients and soil composition. This paper focused on prediction of crop based on the existing data by Artificial Neural Network. We are implementing Artificial Neural Network which is used for classification and prediction as most of intense computation takes place during training phase only, there is no requires of testing phase.

Topics & Concepts

Yield (engineering)CropAgricultural engineeringMachine learningComputer scienceArtificial intelligenceAgronomyMaterials scienceEngineeringBiologyMetallurgySoil Moisture and Remote SensingSoil Geostatistics and MappingSmart Agriculture and AI
PREDICTION OF CROP YIELD USING MACHINE LEARNING | Litcius