Publications by authors named "Sushabhan Choudhury"
Article Synopsis
- The rising human population is putting pressure on food supply, prompting the exploration of vertical farming (VF) as a space-efficient, water-conserving alternative to traditional farming methods.
- VF utilizes modern technologies such as hydroponics, aeroponics, and aquaponics, but faces challenges in monitoring various factors, which can be addressed through advancements like artificial intelligence and the Internet of Things.
- The article provides an in-depth look at how machine learning and IoT can enhance VF systems by improving disease detection, crop yield prediction, and overall product quality, while also discussing the potential outcomes and limitations of these technologies.
The 3D Discrete Wavelet Transform (DWT) and Support Vector Machine (SVM) are used in this study to analyze and characterize Electrocardiogram (ECG) signals. This technique consists of three stages: ECG signal preprocessing, feature extraction, and ECG signal order. The 3D wavelet transform is a signal preprocessing technique, de-noising, along with wavelet coefficient extraction.
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