Riza Alfita
Papers
1
Total Citations
1
H-Index
1
About
Riza Alfita is a researcher at the forefront of agricultural and marine technology, specializing in the integration of computer vision, machine learning, and robotics for environmental monitoring and disease detection. Her most-cited work, "Analysis of Ice-Ice Disease on Seaweed Using the K-Nearest Neighbor Algorithm in Vision Robot Technology" (2024), pioneers the use of remote sensing and K-NN algorithms to automate the identification of ice-ice disease in seaweed—a critical issue for the aquaculture industry. By replacing traditional, imprecise monitoring methods with robotic vision systems, Alfita’s research enhances the accuracy and efficiency of disease surveillance, directly supporting sustainable seaweed cultivation. With 1 citation in its first year, this work signals growing interest in her innovative approach. Alfita’s contributions bridge the gap between artificial intelligence and marine biology, offering scalable solutions for real-time crop health assessment. Her achievements underscore a commitment to leveraging technology for food security and ecological resilience, making her a notable figure in precision agriculture and applied robotics.
Research Focus
Key Achievements
Top Papers
- 1