Hosseini, seyed jaber
Department of Agriculture, Tarbiat Modares University, Tehran, Iran
[ 1 ] - Study of Diversity and Estimation of Leaf Area in Different Mint Ecotypes Using Artificial Intelligence and Regression Models under Salinity Stress Conditions
Leaf area is a key indicator for the growth and production of plant products and also determines the efficiency of light consumption. Therefore, the study of diversity and also the estimation of leaf area in different mint ecotypes is particular importance. One of the common methods for estimating leaf area is regression analysis, the leaf area as independent variable, and leaf length and ...
[ 2 ] - Assessment of Salinity Indices to Identify Mint Ecotypes using Intelligent and Regression Models
Despite recent development in producing chemical medicines, associated side effects have led to increased use of medicinal plants and natural compounds. Soil salinity, especially in arid and semi-arid regions, is a serious threat to global agriculture. Nowadays, efforts have been made to find benchmarks that can effectively select salt-tolerant or salt-resistant genotypes. In this regard, the u...