IoT Data and Random Forest Algorithm for Optimized Crop Rotation Planning for Sustainable Agriculture-Reference-Cited by-同舟云学术

IoT Data and Random Forest Algorithm for Optimized Crop Rotation Planning for Sustainable Agriculture

Published:2024-04-12 Issue: Volume: Page:818-823
ISSN:
Container-title:2024 10th International Conference on Communication and Signal Processing (ICCSP)
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Author:

Gupta Nukala Sujata¹,Jehan C.²,Suguna M. Raja³,Priya S.⁴,Arunachalam G.⁵,Kadumbadi Vijayakumar⁶

Affiliation:

1. Chaitanya Bharathi Institute of Technology, Gandipet, Financial District,Department of Computer Engineering and Technology,Hyderabad,Telangana,India

2. Vel Tech Multitech Dr.Rangarajan Dr.Sagunthala Engineering College,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

3. RMK College of Engineering and Technology,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

4. Academy of Maritime Education and Training (AMET) Deemed to be University,Department of Electrical and Electronics Engineering,Chennai,Tamil Nadu,India

5. Gnanamani College of Technology (Autonomous),Department of Electronics and Communication Engineering,Namakkal,Tamil Nadu,India

6. Adhiparasakthi Engineering College,Department of Technology,Melmaruvathur,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543256/10543221/10543916.pdf?arnumber=10543916

Reference20 articles.

1. Crop rotation based on space and time

2. Water absorption and mechanical behaviour of green fibres and particles acting as reinforced hybrid composite materials

3. A Survey on Crop Rotation Using Machine Learning and IoT

4. Cloud-Enabled Neural Networks for Intelligent Vehicle Emissions Tracking and Analysis

5. Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture