An Artificial Intelligence Model to Predict Crop Water Requirement Using Weather, Soil Moisture, and Plant Health Monitoring Data-Reference-Cited by-同舟云学术

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An Artificial Intelligence Model to Predict Crop Water Requirement Using Weather, Soil Moisture, and Plant Health Monitoring Data

Published:2020-05-14 Issue: Volume: Page:
ISSN:
Container-title:World Environmental and Water Resources Congress 2020
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Author:

Pasha M. Fayzul K.,Srinivasamurthy Nandakishor,Singh Dayadeepak,Yeasmin Dilruba,Valenzuela Guillermo

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784482957.002

Reference10 articles.

1. Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables

2. Building drought resilience in agriculture: Partnerships and public outreach

3. California Agricultural Statistics Review, 2014-2015;California Agricultural Statistics Review,2015

4. Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data

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1. Computerized Irrigation Scheduling;2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA);2023-12-04

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