GOWTHAM RAJENDIRAN
SRM Institute of Science and Technology
Research areas: Agricultural and Biological Sciences · Plant Science · Smart Agriculture and AI · Innovations in Aquaponics and Hydroponics Systems · Plant Growth and Agriculture Techniques
About
Myself Gowtham Rajendiran, a full-time Research Scholar in the Department of Computing Technologies, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur- 603 203, Chengalpattu District, Tamil Nadu, India.
I'm currently doing my research in the field of Agriculture (domain) with the help of IoT and Machine Learning algorithms.
Employment
Employment history is unavailable.
Education
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SRM Institute of Science and Technology Doctor of Philosophy (Ph. D)2021 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- Connecting the Virtual and Real Worlds Save
- UniTriRob: a robust machine learning regression model for predicting lettuce yields in aeroponic vertical farming Save
- Lettuce Yield Prediction: ElasticNet Regression Model (ElNetRM) for Indoor Aeroponic Vertical Farming System Save
- Revolutionizing Agriculture: IoT with Machine Learning for Global Plant Growth Analysis and Food Sustainability Save
- Enhanced CNN Model for Lettuce Disease Identification in Indoor Aeroponic Vertical Farming Systems Save
- Optimizing Lettuce Crop Yield Prediction in an Indoor Aeroponic Vertical Farming System Using IoT-Integrated Machine Learning Regression Models Save
- Cricket performance predictions: a comparative analysis of machine learning models for predicting cricket player’s performance in the One Day International (ODI) world cup 2023 Save
- IoT-Integrated Machine Learning-Based Automated Precision Agriculture-Indoor Farming Techniques Save
- Sustainable Agriculture Practices: Dealing with Innovative Plant Disease Management Technologies in Challenging Farming Environments Save
- Smart Aeroponic Farming System: Using IoT with LCGM-Boost Regression Model for Monitoring and Predicting Lettuce Crop Yield Save
- Lettuce Crop Yield Prediction Analysis using Random Forest Regression Machine Learning Model in Aeroponics System Save
- Future of Smart Farming Techniques: Significance of Urban Vertical Farming Systems Integrated with IoT and Machine Learning Save
- A Machine Learning Approach for Aeroponic Lettuce Crop Growth Monitoring System Save
- Analysis and Prediction of Lettuce Crop Yield in Aeroponic Vertical Farming using Logistic Regression Method Save
- An IoT based Plant Leaf Disease Detection Using Machine Learning and Auto Spraying Mechanism Save
- Secured Data Transmission In Wireless Sensor Networks Save