About this document
Data Analytics for Crop Prediction by Jagadeesh Baman is a document available to read on EtoBox.
The document discusses using data analytics and machine learning for crop prediction in agriculture. It outlines the objectives of predicting the best crop to grow based on soil composition, temperature, pH value and rainfall. It then provides details on the introduction, literature review, data analysis, findings, conclusion and references sections of the research study. The summary discusses how data analytics can help farmers make informed decisions and increase crop yields by analyzing data from sensors
- Author
- Jagadeesh Baman
- Language
- EN