Predicting Vegetables And Fruits Through Supply Chain Insights-Reference-Cited by-同舟云学术

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Predicting Vegetables And Fruits Through Supply Chain Insights

Published:2024-03-14 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
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Author:

Oberoi Kenny Gee¹,K Deepa¹,Sangeetha S.V. Tresa²,Neelima N.³

Affiliation:

1. Amrita Vishwa Vidyapeetham,Department of Electrical and Electronics Engineering,Bengaluru,India

2. University of Technology and Applied Sciences,Department of Engineering,AlMusannah,Sultanate of Oman

3. Amrita Vishwa Vidyapeetham,Department of Electronics and Communication Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502389/10502407/10502663.pdf?arnumber=10502663

Reference12 articles.

1. An Innovative Deep Learning Based Approach for Accurate Agricultural Crop Price Prediction

2. Prediction of Diabetes Using Machine Learning: Analysis of 70,000 Clinical Database Patient Record

3. Price Prediction Model of fruits, Vegetables and Pulses according to Weather

4. Short-Term Forecasting of Electric Vehicle Load Using Time Series, Machine Learning, and Deep Learning Techniques

5. Comparison of Machine Learning Methods for Cryptocurrency Price Prediction

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