M. A. Amal
Papers
1
Total Citations
5
H-Index
1
About
M. A. Amal is a researcher focused on the intersection of plant breeding, phenomics, and multivariate statistics, with a particular emphasis on improving horticultural crop production. Their most notable contribution involves the development of non-destructive, image-based phenotyping (IBP) methods to estimate fruit fresh weight in lowland tomatoes. By combining IBP with advanced multivariate analysis, Amal has provided breeders and farmers with a powerful, high-throughput tool to assess marketable yield without the need for destructive sampling, directly addressing a key bottleneck in conventional breeding programs. This work, published in 2024 and already garnering 5 citations, demonstrates a clear and immediate impact on the field of precision agriculture. Amal’s research is critical for accelerating the selection of superior tomato lines, ultimately supporting more efficient and sustainable food production in challenging lowland environments. Their approach represents a significant step forward in integrating computational analysis with practical agricultural science.
Research Focus
Key Achievements
Top Papers
- 1