Isdaryanto Iskandar
Papers
1
Total Citations
2
H-Index
1
About
Dr. Isdaryanto Iskandar is a researcher at the forefront of agricultural robotics and artificial intelligence, with a primary focus on applying deep learning to precision farming. His most cited work, "Implementation of Convolutional Neural Network on Farming Robots for Detecting Broccoli" (2022), addresses a critical challenge in Indonesian horticulture: optimizing cultivation techniques for high-value crops. By integrating Convolutional Neural Networks (CNNs) into autonomous farming robots, Dr. Iskandar developed a system capable of accurately detecting broccoli plants, enabling targeted watering and care. This innovation directly tackles the common issue of crop failure due to improper cultivation, offering farmers a practical, technology-driven solution to enhance yield and resource efficiency. While his citation count is still growing, the practical impact of his work is significant, bridging the gap between advanced computer vision and real-world agricultural needs. Dr. Iskandar’s research exemplifies how AI can empower smallholder farmers, making him a notable contributor to the emerging field of smart farming in Southeast Asia. His ongoing work continues to explore the intersection of robotics, machine learning, and sustainable agriculture.
Research Focus
Key Achievements
Top Papers
- 1