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Early Recognition of Rainfall to Plan and Manage the Cultivation: A Forecasting Model Using Artificial Neural Networks for Dompe Divisional Secretariat in Gampaha District, Sri Lanka Cover

Early Recognition of Rainfall to Plan and Manage the Cultivation: A Forecasting Model Using Artificial Neural Networks for Dompe Divisional Secretariat in Gampaha District, Sri Lanka

Tropical Agricultural Research
Volume 32 (2021): Issue 2
By: ,   and    
Open Access
|Apr 2021
Articles in this issue
DOI: https://doi.org/10.4038/tar.v32i2.8466 | Journal eISSN: 2706-0233
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Language: English
Page range: 191 - 200
Published on: Apr 1, 2021
Published by: Postgraduate Institute of Agriculture (PGIA)
In partnership with: Paradigm Publishing Services
Keywords:
Artificial neural networks,
Cultivation,
Feed forward neural network,
Forecasting

© 2021 N. M. Hakmanage, N. V. Chandrasekara, D. D. M. Jayasundara, published by Postgraduate Institute of Agriculture (PGIA)
This work is licensed under the Creative Commons License.

Volume 32 (2021): Issue 2
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