soilFlux

cranv0.1.5

Physics-Informed Neural Networks for Soil Water Retention Curves. Implements a physics-informed one-dimensional convolutional neural network (CNN1D-PINN) for estimating the complete soil water retention curve (SWRC) as a continuous function of matric potential, from soil texture, organic carbon, bulk density, and depth. The network architecture ensures strict mono

License MIT + file LICENSE0 versions1 maintainers9 deps123 weekly dl
HugoMachadoRodrigues/soilFlux
50
/ 100
Health
safe to use

[email protected] is safe to use (health: 50/100)

Health breakdown0 – 100
20/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

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Dependencies (9)
dplyrtidyrggplot2purrrtibblestringrreticulatetensorflowrlang
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First published · 2026-03-26 09:42:48

Last updated · 2026-03-26T08:30:02+00:00

soilFlux — Health Score 50/100 | DepScope