Open AccessPredicting the Crop Type and Region of Abundance using Machine Learning
Author(s) -
Mohd Khalid Shaikh
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.38180
Subject(s) - ignorance , identification (biology) , abundance (ecology) , crop , type (biology) , convolutional neural network , computer science , artificial intelligence , geography , epistemology , ecology , forestry , philosophy , biology
In this modern age of science too technology, students and people in big cities ignorance of many things, such as how we get food, how things are processed, and much more. We are just it focuses on the results we get, because of this morality our knowledge diminishes, as if we did not know the crops or the goods ourselves using. As we visit the rural area when we arrive beyond some kind of plant, we can't know that, so we have identified this place to resolve the problem of students, researchers and many more people by creating a plant identification system which will predict the type of crop and the location of abundance where the harvest is planted. Keywords: Crop Identification System, Convolution Neural networks, MobilenetV2.