Soil moisture quantity prediction using optimized neural supported model for sustainable agricultural applications-Reference-Cited by-同舟云学术

Soil moisture quantity prediction using optimized neural supported model for sustainable agricultural applications

Published:2020-12 Issue: Volume:28 Page:100279
ISSN:2210-5379
Container-title:Sustainable Computing: Informatics and Systems
language:en
Short-container-title:Sustainable Computing: Informatics and Systems

Author:

Chatterjee Sankhadeep^ORCID,Dey Nilanjan,Sen Soumya

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science

Reference46 articles.

1. The effects of soil moisture and nutrients on cropland productivity in the highland area of the Loess Plateau;Liang;ACIAR Monogr. Ser.,2002

2. Effect of excessive and minimal soil moisture stress on agronomic performance of bush and climbing bean (Phaseolus vulgaris L.);Ntukamazina;Cogent Food Agric.,2017

3. Climate and Agriculture: an Ecological Survey;Chang,2017

4. Sustainable intensification of agriculture for human prosperity and global sustainability;Rockström;AMBIO,2017

5. Agricultural water management in the world during past half century;Valipour;Arch. Agron. Soil Sci.,2015

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