Crop Recommendation Based On Local Environmental Parameters Using Machine Learning Approach. Crop recommendation is completely based on environmental factors like soil, weather and rainfall for particular region. So there is need of machine learning techniques like support vector machine and convolutional neural network for classification and clustering dataset. We recommend best suitable crop for particular region based on this regional parametric environmental information. Our contribution solves crop selection problem and ultimately increase the rate of yields and helps to improve economic health of our farmers.
User Interfaces
Homepage-User • User login to the system, after login user gets authentication permission to access or view system. • At a time of login user details get stored in database and this information used for further logins. • User can view crop details, rainfall data & weather conditions. • User can view prediction results based on given data inputs like soil conditions, rainfall & weather conditions. • User ask queries to admin. Homepage-Admin • Admin gets logged in to a crop prediction system. • System is responsible for editing crop details and uploading crop details. • Admin can view crop results and view users details as well. • Admin can set prediction pattern for best suited crops. • Resolve farmers queries.
User: User Login(); User Registration(); Update Info(); View Crops(); View Environmental_Data(); Give_Input(); View Prediction(); Logout();
Admin: Login(); Modify Details(); Update crop Data(); View users(); Set Predictions(); Send Mail(); View Predictions(); Logout();
Hardware Interfaces
Processor - Intel i3 core Speed - 1.1 GHz RAM - 2GB Hard Disk - 50 GB Floppy Drive - 1.44 MB Key Board - Standard Windows Keyboard Mouse - Two or Three Button Mouse Monitor - SVGA
Software Interfaces Operating system: Windows 7/8/10 Coding Language: Java Language Database: MYSQL IDE: Eclipse