Published crop-disease research
Co-authored peer-reviewed research on a lightweight CNN direction for real-time crop disease detection in precision agriculture.
SELECTED WORK
This is a public selection, not a dump of assignments or private study material. Each entry will grow only when there is enough evidence to explain the problem, method, result and limitation.
Co-authored peer-reviewed research on a lightweight CNN direction for real-time crop disease detection in precision agriculture.
Early temporal-modelling exploration connected to agricultural decisions and the first Apollo mission. The historical code, data and outcome evidence are being reconstructed before stronger performance claims are published.
A growing body of process-selection, quality, measurement and data-analysis work connecting manufacturing decisions to transparent evidence.
Applied engineering studies across mechanisms, graphics, tolerances and design decisions. Selected artifacts will appear here after academic review.
Small reproducible analyses focused on measurement quality, variation, probability and honest interpretation before prediction.