Predictive Analysis Using Modified Inception Net and Support Vector Machine for Forecasting Copra Yield in Agriculture-Reference-Cited by-同舟云学术

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Predictive Analysis Using Modified Inception Net and Support Vector Machine for Forecasting Copra Yield in Agriculture

Published:2024-04-26 Issue: Volume:6 Page:1-5
ISSN:
Container-title:2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
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Author:

M G Kavitha¹,M L Raviprakash¹,Al-Attabi Kassem²,Sathyavani B.³,Meenakshi Sundaram S⁴

Affiliation:

1. Kalpataru Institute of Technology,Department of Computer science and engineering,Tiptur,India

2. College of Technical Engineering, The Islamic University,Department of Computers Techniques Engineering,Najaf,Iraq

3. SR University,Department of Electrical and Electronics Engineering,Warangal,India

4. Nitte Meenakshi Institute of Technology,Department of AI & DS,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548017/10548035/10548986.pdf?arnumber=10548986

Reference11 articles.

1. Human Action Recognition Based on Recognition of Linear Patterns in Action Bank Features Using Convolutional Neural Networks

2. Coconut Trees Detection on the Tenarunga Using High-Resolution Satellite Images and Deep Learning

3. Intracranial Hemorrhages Segmentation and Features Selection Applying Cuckoo Search Algorithm with Gated Recurrent Unit

4. Farmer regeneration and knowledge co-creation in the sustainability of coconut agribusiness in Gorontalo, Indonesia

5. Inspection and Grading of Dried Coconut – an Automatic Method Using SVM Classification

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