Root Rot Lentil and Healthy Lentil Detection Using Image Processing

Lentil type identification using machine vision

Shahin, M.A. and Symons, S.J. 2003. Lentil type identification using machine vision. Canadian Biosystems Engineering/Le génie des biosystèmes au Canada 45: 3.5-3.11. A machine vision system (TrueGrade) was used to identify the type (variety) of Canadian lentils from bulk samples. The samples were presented to the instrument in a clear transparent sample tray, and the sample was imaged using a l...

Separation of lentil root tip chromosomes by colchicine

Genetic Divergence in Lentil

Fifty genotypes of lentil (Lens culnaris Medik) were evaluated under eight environments for seed yield and its associated traits. All the genotypes were grouped into seven clusters. The composition of various clusters varied from 2 to 12. Clustering pattern revealed the distribution of the genotypes belonging to the same origin in more than one cluster indicating non-parallism between geographi...

Evaluation of Wild Lentil Species as Genetic Resources to Improve Drought Tolerance in Cultivated Lentil

Increasingly unpredictable annual rainfall amounts and distribution patterns have far reaching implications for pulse crop biology. Seedling and whole plant survival will be affected given that water is a key factor in plant photosynthesis and also influences the evolving disease spectrum that affects crops. The wild relatives of cultivated lentil are native to drought prone areas, making them ...

Prediction of corn and lentil moisture content using dielectric properties

Almost all properties of grains and seeds depend on moisture content. One of these properties is dielectric constant. Therefore capacitive sensor is used in precision agriculture widely. In this paper, a cylindrical capacitor was used to measure dielectric constant of seed. By measuring the dielectric constant, the moisture content of grains may be predicted. Change in dielectric constant of co...