Activity & Updates

🎉 I'm excited to share that my second research paper has been officially published at ICoDSA 2025!

This work was done in collaboration with Falah Asyraf Darmawan Putra, Akif Rachmat Hidayah, and Mahmud Dwi Sulistiyo 🙌

📄 The paper is titled: "Classification of Bean Leaf Lesions Using Modified EfficientNetV2 for Implementation in TensorFlow Lite"

🧠 In this research, we propose a lightweight and efficient deep learning model for classifying bean leaf diseases specifically Angular Leaf Spot, Bean Rust, and Healthy leaves. By modifying the EfficientNetV2 architecture and optimizing it with TensorFlow Lite, our model achieved high accuracy (97.76%) while remaining suitable for real-time mobile deployment. 🌿📱
This is a step forward in making AI-powered plant disease detection more accessible to farmers and edge-based systems 🚜🌾

🌞 Introducing SenseVis: Our innovative solar panel detection system designed to optimize solar energy efficiency by monitoring power output and foggy days! 🌫️🔋

🔍 What do we aim to achieve?
We strive to maximize solar energy output under varying weather conditions using advanced detection technology.

🛠️ How will we achieve this?
By meticulously following the 5 phases of the project life cycle:

- Initiation: Define project scope and goals
- Planning: Develop a detailed roadmap and resource allocation
- Execution: Implement detection algorithms and integrate with solar panel systems
- Monitoring: Continuously track performance and adjust as needed
- Closure: Deliver the final optimized solution and assess results

⏳ Timeline:
Our dedicated team is committed to achieving this in just 6 weeks!

Special thanks to Bangkit and Solafune, Inc. for incredible support and guidance in making this project possible.