Water quality indexes (WQI) are pivotal in assessing aquatic systems. Conventional
modeling approaches rely on extensive datasets with numerous unspecified inputs, leading …

Non destructive estimation of leaf area is necessary for taking successive observations on
the same leaf. Usually, a common method for developing leaf area estimation models was to …

Some leaf area (LA) estimation models have been developed for different plants under
optimum conditions, but to date, none has been developed to model for those grown under …

The prediction of seed cotton yield is a critical aspect of cotton breeding. In the present
study, an artificial neural network (ANN) and a multiple linear regression (MLR) model were …

Wheat is the important food grain and is cultivated in many Indian states: Punjab, Haryana,
Uttar Pradesh, and Madhya Pradesh, which contributes to major crop production in India. In …

In this study, leaf area prediction models of Dendrobium nobile, were developed through
machine learning (ML) techniques including multiple linear regression (MLR), support vector …

Health of a plant and its growth can be assessed by the area of its leaf. The present study
envisaged to develop an artificial neural network (ANN) and linear regression-based leaf …

Leaf Area (LA) is a key index of plant productivity and growth. A multiple linear regression
technique is commonly applied to estimate LA as a non-destructive and quick method, but …

Leaf area plays an important rules in plant growth and production. There are some methods
used to measure leaf area with different approach namely regression equation, grid count …

Diverse leaf forms ranging from simple to compound leaves are found in plants. It is known
that the final leaf size and shape vary greatly in response to developmental and …