Aleksandr V. Semenov
All-Russian Horticultural Institute for Breeding, Agrotechnology and Nursery
Papers
1
Total Citations
2
H-Index
1
About
Aleksandr V. Semenov is a leading researcher at the intersection of artificial intelligence and agricultural technology, with a primary focus on phytosanitary monitoring and precision crop management. His most cited work, "Neural networks as a support element of phytosanitary monitoring of fruit crops on the example of apple trees" (2025, 2 citations), introduces a cutting-edge convolutional neural network model that leverages transfer learning with the YOLOv10-X architecture to detect and classify diseases from images of apple tree leaves and fruits. This contribution is pivotal for automating early disease identification, reducing reliance on manual inspection, and enhancing crop yield protection. Although early in its citation trajectory, the paper’s innovative application of state-of-the-art object detection to agriculture signals a significant step toward scalable, AI-driven solutions for food security. Semenov’s work exemplifies how deep learning can bridge the gap between computational vision and real-world farming challenges, making him a notable figure in the emerging field of digital agriculture. His research holds promise for transforming phytosanitary practices globally.
Research Focus
Key Achievements
Top Papers
- 1