Seed quality is of great importance in optimizing the cost of crop establishment. Rapid and
non-destructive seed quality detection methods must therefore be developed for agriculture …

In order to solve the problems of high subjectivity, frequent error occurrence and easy
damage of traditional corn seed identification methods, this paper combines deep learning …

Inspection of rice seeds is a crucial task for plant nurseries and farmers since it ensures
seed quality when growing seedlings. Conventionally, this process is performed by expert …

Rice is a high valued subsistence crop that feeds more than 3.5 billion of the world
population. Its importance can be gauged from the fact that the top five rice exporting …

Abstract Computer software—the Rice Seed Germination Evaluation System (RSGES)—was
developed which can evaluate a rice seed image for germination prediction by using digital …

Weedy rice infestation has become a major problem in all rice-growing countries, especially
in Malaysia. Challenges remain in finding a rapid technique to identify the weedy rice seeds …

The accurate identification and classification of rice species is critical for increasing crop
productivity, quality, and diversity. Traditional rice classification methods involving manual …

The use of computer image analysis can assist the extraction of morphological information
from seeds, potentially serving as a resource for solving taxonomic problems that require …

Rice is vital to people all around the world. The demand for an efficient method in rice seed
variety classification is one of the most essential tasks for quality inspection. Currently, this …

The aim of this study is to enhance the classification accuracy of rice varieties that are quite
similar in external observation. In this study, 17 rice grain varieties popularly planted in …