The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …

Highlights•A detailed survey of image acquisition techniques and its components for testing
of legumes.•Advantages and limitations of the techniques specific to their applicability are …

This paper presents a neural network approach for classification of rice varieties. A total of 9
different rice verities were considered for the study. Samples were drawn from each variety …

The conventional methods for seed quality testing have several limitations as they involve
visual assessment and are destructive. In this context, a study was performed to assess the …

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 …

Aflatoxin belongs to a group of fungal toxins known as mycotoxins, and is widespread in
agricultural products and food. Consumption of aflatoxin contaminated peanuts causes …

Abstract Machine learning (ML) and deep learning can be used in the smartest way possible
to improve productivity in agriculture. The Food and Agriculture Organization's research …

VG Dhanya a,⁎, A. Subeesh b,⁎⁎, NL Kushwaha c, Dinesh Kumar Vishwakarma d, T.
Nagesh Kumar e, G. Ritika c, AN Singh aa ICAR-Indian Institute of Seed Science, Mau, Uttar …

Identification of rice cultivars is very important in modern agriculture. Texture properties
could be used to identify of rice cultivars among of the various factors. The digital images …

Natural and artificial body marks like mole and tattoos are used to identify the victims, such
as suspected, and unidentified bodies like in mass death in a plane crash and the tsunami it …