Classification and Forecasting of Water Stress in Tomato Plants Using Bioristor Data || VIP || IEEE

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CONTACT:VENKAT INNOVATIVE PROJECTS
NAME: VENKATARAO GANIPISETTY
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Email :venkatjavaprojects@gmail.com
Email :venkatinnovativeprojects@gmail.com
Website:http://venkatprojects.com
website:https://venkatinnovativeprojects.com/
ABOUT PTOJECT:
We have converted this project from JUPYTER to WEB and to implement this project we have designed following modules
1) New User Register: user can sign up with the application
2) User Login: user can login to system
3) Load & Process Tomato Dataset: using this model will load and normalize all tomato Bioristor dataset and then split into train and test where application using 80% records for training and 20% for testing
4) Train ML & DL Algorithms: 80% training records will be input to ML and DL algorithm to trained a model and this model will be applied on 20% test images to calculate prediction accuracy
5) Predict Plant Status: using this module user can upload test data and then extension CNN model will predict plant condition as drought

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