Low-cost IoT real-time environmental monitoring and one-hour LSTM forecasting for small-scale agricultural applications
Ganna H. Hebishy, Ahmed K. Hassan, Samaa F. Osman, Mohamed S. Saraya · 2026
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Description
Ganna Hebishy, Ahmed Hassan, Samaa Osman, and Mohamed Saraya build a cheap farm monitoring system with a forecasting model in a 2026 paper. Standard gear is too costly for small farms to track conditions without pause. Their system uses low cost boards and sensors to log seven channels, from heat and humidity to soil moisture and gases, and sends data to a cloud service each minute.
A three week garden trial in Egypt's Nile Delta kept nearly all of its records after cleaning. Seven neural models each forecast one channel an hour ahead. The learned model beat simple baselines on only two channels, a result the authors report plainly.
Catalog record
| CREATOR | Ganna H. Hebishy, Ahmed K. Hassan, Samaa F. Osman, Mohamed S. Saraya |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 62 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |