Enhanced reptile search optimization with convolutional autoencoder for soil nutrient classification model.

ABSTRACT:

Background

Soil nutrients play an important role in soil fertility and other environmental factors. Soil testing is an effective tool for evaluating soil nutrient levels and calculating the appropriate quantitative of soil nutrients based on fertility and crop requirements. Because traditional soil nutrient testing models are impractical for real-time applications, efficient soil nutrient and potential hydrogen (pH) prediction models are required to improve overall crop productivity. Soil testing is an effective method to evaluate the presence of nutrient status of soil and assists in determining appropriate nutrient quantity.

Methods

Various machine learning (ML) models proposed, predict the soil nutrients, soil type, and soil moisture. To assess the significant soil nutrie

SUBMITTER: Raman P 

PROVIDER: S-EPMC10084824 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature