Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a
large impact on Smart Farming and involve the whole supply chain, particularly for rice …

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 …

Automatic rice variety identification or quality analysis is a challenging task in image
processing and reflects advanced insights into agricultural research with the help of …

The assessment of food quality is of significant importance as it allows control over important
features, such as ensuring adherence to food standards, longer shelf life, and consistency …

Rice is an essential staple food for human nutrition. Rice varieties worldwide have been
planted, imported, and exported. During production and trading, different types of rice can be …

Accepted: 13 March 2023 A blend of natural and artificial foreign objects can be used to
determine the rice quality. The agricultural industry, particularly rice plants, has …

Traditional machine learning-based methods for the detection of rice degree of milling
(DOM) that are not comprehensive in feature extraction and have low recognition rates fail to …

Rice is the most important food crop in developing or developed countries and the staple
diet of more than half of the world's population. It is high in nutrients, minerals, and a good …

Paddy (Oryza sativa) is one of the most consumed food grains in the world. The process
from its sowing to consumption via harvesting, processing, storage and management require …

Agriculture has profound influence on the economy of India. In India Agriculture is a major
source from where the collective amount of turnover is responsible on the crop, quality and …