Dhandapani, Padmapriya (2024) Multi-Channel Multi-Modal Concatenation-based Deep Learning Model for Leaf Infection and Soil Property Prediction. In: Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India.
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Abstract
One of the most important tasks in improving crop yield quality is accurately
predicting leaf infection and its related soil properties. A Multi-channel Convolutional
Neural Network (MCNN) was already designed that utilized a separate channels for
learning features of soil and leaf infection images.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:18 |
| Last Modified: | 17 Apr 2026 00:10 |
| URI: | http://eprints.eai.eu/id/eprint/47755 |
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