2022
DOI: 10.1007/s13399-022-02962-8
|View full text |Cite
|
Sign up to set email alerts
|

I-optimal mixture design and artificial neural network for the sustainable production of vermicompost

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(6 citation statements)
references
References 52 publications
0
6
0
Order By: Relevance
“…Further, the potential of being good quality compost can be determined by measuring the C/N ratio, CO 2 evolution and Germination Index. 2,5…”
Section: Vermicomposting Process Overviewmentioning
confidence: 99%
See 4 more Smart Citations
“…Further, the potential of being good quality compost can be determined by measuring the C/N ratio, CO 2 evolution and Germination Index. 2,5…”
Section: Vermicomposting Process Overviewmentioning
confidence: 99%
“…According to the results of a comparative study that examined how vermicomposting works as well as the worms' growth in different temperature and moisture ranges, the outcomes demonstrated that a range of moisture between 65–75% was suitable for all temperature ranges for vermicomposting. 5,17…”
Section: Design Considerationsmentioning
confidence: 99%
See 3 more Smart Citations