An intelligent ethereum blockchain technology for pest detection and smart irrigation in IoT using hybrid deep learning model
Kiran Bharadwaj Vedula, Rajesh Arunachalam, Sumanth Venugopal · 2026
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Description
Kiran Bharadwaj Vedula, Rajesh Arunachalam and Sumanth Venugopal mix in 2026 farm sensors, blockchain logs and a hybrid learning model. Jobs cover plant disease calls, pest finds and smart watering. Field data safety and call accuracy were joint design goals.
Sensor reads land on an Ethereum chain first. The tuned network then reads the data for each farm job. Disease call accuracy hit about 94 percent. Pest finds scored close on accuracy and catch rates. Watering error scores are listed with the main results. A bird-inspired search tuned the network settings. The full design targets small farms that need trusted auto advice.
Catalog record
| CREATOR | Kiran Bharadwaj Vedula, Rajesh Arunachalam, Sumanth Venugopal |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 131594 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |