Classification of Cotton Crop Pests Using Big Data Analytics-Reference-Cited by-同舟云学术

Classification of Cotton Crop Pests Using Big Data Analytics

Published:2020 Issue: Volume: Page:37-45
ISSN:2662-3447
Container-title:Learning and Analytics in Intelligent Systems
language:
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Author:

Durgabai R. P. L.,Bhargavi P.,Jyothi S.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-46939-9_4

Reference16 articles.

1. N. EI-Wakeil, A. Abdallah, Cotton pests and the actual strategies for their management control, in Cotton: Cultivation, Varieties and Uses (Nova Science Publishers, 2012). ISBN: 978-1-61942-746-4

2. M. Kumar, M. Nagar, Big Data Analytics in Agriculture and Distribution Channel (IEEE, 2017). ISBN: 978-1-5090-4890-8

3. V.P. Gandhi, D. Jain, Cotton Cultivation in Andhra Pradesh, Introduction to Biotechnology in India’s Agriculture (2016), pp. 73–84

4. P. Revathi, M. Hemalatha, Classification of cotton leaf spot diseases using image processing edge detection techniques, in 2012 International Conference on Emerging Trends in Science, Engineering and Technology (2012). https://doi.org/10.1109/incoset.2012.6513900

5. J. Patil, V.D. Mytri, A prediction model for population dynamics of cotton pest using multilayer—perceptron neural network. Int. J. Comput. Appl. 67(4) (2013)

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2. An Ensemble Machine Learning Framework for Cotton Crop Yield Prediction Using Weather Parameters: A Case Study of Pakistan;IEEE Access;2024

3. Detection of the Affected Area and Classification of Pests Using Convolutional Neural Networks from the Leaf Images;Advancements in Smart Computing and Information Security;2022