Low-cost embedded system for spectral power distribution reconstruction for controlled environmental agriculture using a multispectral sensor and cloud-based deep learning
Juan Morales-Guerra, Juan Soto-Perdomo, Juan Botero-Valencia, Erick Reyes-Vera, JM Pearce · 2026
Read Low-cost embedded system for spectral power distribution reconstruction for controlled environmental agriculture using a multispectral sensor and cloud-based deep learning by Juan Morales-Guerra, Juan Soto-Perdomo, Juan Botero-Valencia, Erick Reyes-Vera, JM Pearce (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13280819.txt.
Description
Juan Morales-Guerra and four co-authors build, in a 2026 paper, a low-cost device that measures the light spectrum indoor farms shine on crops. Plants respond to the mix of wavelengths in their light, but true spectrometers cost too much for most farms. Their open-source rig uses a multispectral sensor with 18 channels and a small embedded board that sends readings to the cloud.
The sensor's raw readings bend away from the truth, so a small neural network first corrects them. That step cut the error by a wide factor. A cloud-based network then expands the corrected bands into a full spectral curve. Its error ran lower still on farm light types. A second sensor logs temperature, humidity, and gas levels to flag odd readings. The authors offer the design as a scalable way to watch farm light without costly instruments.
Catalog record
| CREATOR | Juan Morales-Guerra, Juan Soto-Perdomo, Juan Botero-Valencia, Erick Reyes-Vera, JM Pearce |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 71 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |