Published Paper Details:

Seed testing is crucial for modern agriculture, as it ensures the quality, purity, and viability of seeds before planting. By evaluating parameters like purity, germination potential, moisture content, and seed health, seed testing provides vital information for farmers and seed producers to make informed decisions about planting and crop performance. It also helps prevent the spread of diseases and pathogens, contributing to sustainable farming practices and increased productivity. Mainly there are two methods of seed testing, destructive testing and non-destructive testing. As it clear that sample is destroyed in destructive testing method and based on its result batch of that seeds quality estimated. In non-destructive testing method seed samples are tested using computer vision and electronics sensors. In this this paper various seed testing methods like computer vision, image processing, spectral analysis of non-destructive testing are explore with key benefit and their limitations.