PROJECT
Here you can find some of my latest projects. Every project I work on is unique and I always do my best to deliver high-quality results. Take a look at my work and feel free to contact me if you have any questions or would like to work together!
Crop Yield Prediction and Fertilizer System Using
Machine Learning
HTML | CSS | Flask | Python | MySQL | XAMPP
As a coastal state, Tamil Nadu faces uncertainty in agriculture which decreases its production. With more population and area, more productivity should be achieved but it cannot be reached. Farmers have word-of-mouth in past decades but now it cannot be used due to climatic factors. Agricultural factors and parameters make the data to get insights about the Agri-facts. The growth of the IT world drives some highlights in Agriculture Sciences to help farmers with good agricultural information. Intelligence in applying modern technological methods in the field of agriculture is desirable in this current scenario. Machine Learning Techniques develop a well-defined model with the data and help us to attain predictions. Agricultural issues like crop prediction, rotation, water requirement, fertilizer requirement, and protection can be solved. Due to the variable climatic factors of the environment, there is a necessity to have an efficient technique to facilitate crop cultivation and to lend a hand to the farmers in their production and management. This may help upcoming agriculturalists to have better agriculture. A system of recommendations can be provided to a farmer to help them in crop cultivation with the help of data mining. To implement such an approach, crops are recommended based on its climatic factors and quantity. Data Analytics paves a way to evolve useful extraction from agricultural databases. The Crop Dataset has been analyzed and recommendation for crops is made based on productivity and season.
