Smart solution for leaf stress detection and classification a research pattern

Author:

Gautam Vinay,Rani Jyoti

Publisher

Elsevier BV

Subject

General Medicine

Reference137 articles.

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2. The 208 Networked Physical World Proposals for Engineering the Next Generation of Computing;Sarma,2018

3. A survey on Internet of Things architectures;Ray;J. King Saud Univ. Compute. Inf. Sci.,2018

4. Gradients of temperature, humidity and CO2 along a fan-ventilated greenhouse;Teitel;Biosyst. Eng.,2010

5. Sonic anemometry to evaluate airflow characteristics andtemperature distribution in empty Mediterranean greenhouses equipped with pad–fan and fog systems;López,2012

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1. Neural Network-Based Stress Detection in Crop Multispectral Imagery for Precision Agriculture;2024 14th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP);2024-07-17

2. State-of-the-art AI-enabled mobile device for real-time water stress detection of field crops;Engineering Applications of Artificial Intelligence;2024-05

3. Crop Stress Detection with Multispectral Imaging using IA;2023 South American Conference On Visible Light Communications (SACVLC);2023-11-08

4. ESDNN: A novel ensembled stack deep neural network for mango leaf disease classification and detection;Multimedia Tools and Applications;2023-06-26

5. Optimized High Performance Deep Neural Network for Crop Recommendation;2022 9th International Conference on Computing for Sustainable Global Development (INDIACom);2022-03-23

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