Texture Feature On Determining Quantity of Soil Organic Matter For Patchouli Plant Using Backpropagation Neural Network

Candra Dewi, Suci Sundari, Mardji Mardji

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DOI: 10.25126/jitecs.20194168
Published: June
Container: JITeCS (Journal of Information Technology and Computer Science)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.25126/jitecs.20194168,
  title = {Texture Feature On Determining Quantity of Soil Organic Matter For Patchouli Plant Using Backpropagation Neural Network},
  author = {Candra Dewi and Suci Sundari and Mardji Mardji},
  year = {2019},
  journal = {JITeCS (Journal of Information Technology and Computer Science)},
  doi = {10.25126/jitecs.20194168},
  url = {https://doi.org/10.25126/jitecs.20194168}
}

RIS

TY  - JOUR
TI  - Texture Feature On Determining Quantity of Soil Organic Matter For Patchouli Plant Using Backpropagation Neural Network
AU  - Candra Dewi
AU  - Suci Sundari
AU  - Mardji Mardji
PY  - 2019
JO  - JITeCS (Journal of Information Technology and Computer Science)
DO  - 10.25126/jitecs.20194168
UR  - https://doi.org/10.25126/jitecs.20194168
ER  -

APA

Dewi, C., Sundari, S., & Mardji, M. (2019). Texture Feature On Determining Quantity of Soil Organic Matter For Patchouli Plant Using Backpropagation Neural Network. JITeCS (Journal of Information Technology and Computer Science). https://doi.org/10.25126/jitecs.20194168

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doaj · retrieved 2026-09-24T23:07:43.607Z