Classification Of Nutrition Deficiency In Rice Plant Using CNN-Reference-Cited by-同舟云学术

Classification Of Nutrition Deficiency In Rice Plant Using CNN

Published:2022-07-27 Issue: Volume: Page:
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Container-title:2022 1st International Conference on Information System & Information Technology (ICISIT)
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Author:

Rizal Syamsul¹,Pratiwi Nor Kumalasari Caecar¹,Ibrahim Nur¹,Syalomta Nathaniel¹,Nasution Muhammad Ikhwan Khalid¹,Mutiah Utami Mz Indah¹,Oktavia Deva Aulia Putri¹

Affiliation:

1. Telkom University,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9872526/9872549/09873082.pdf?arnumber=9873082

Reference10 articles.

1. A Nutrient Deficiency Prediction Method Using Deep Learning on Development of Tomato Fruits

2. Nitrogen Deficiency Prediction of Rice Crop Based on Convolutional Neural Network

3. Analyzing Performance of Deep Learning Techniques for Web Navigation Prediction

4. A Comprehensive Guide to Convolutional Neural Networks — the ELI5 way | by Sumit Saha | Towards Data Science;sumit;Towards Data Science,2018

5. Deep Learning Detected Nutrient Deficiency in Chili Plant

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1. Deep Learning Techniques to Detect Nutrient Deficiency in Rice Plants;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

2. Towards the Deployment of Deep Learning Solutions in Plant Nutrient Deficiency Identification and Classification;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

3. Convolutional Neural Networks in Computer Vision for Grain Crop Phenotyping: A Review;Agronomy;2022-10-27