Prediction models of macro-nutrient content in plant organs of Cucumis melo in response to soil elements using support vector regression.

ABSTRACT:

Background

Undoubtedly, the importance of food and food security as one of the present and future challenges is not invisible to anyone. Nowadays, the development of methods for monitoring the nutrient content in crop products is an essential issue for implementing reasonable and logical soil properties management. The modeling technique can evaluate the soil properties of fields and study the subject of crop yield through soil management. This study aims to predict fruit yield and macro-nutrient content in plant organs of Cucumis melo in response to soil elements using support vector regression (SVR).

Methodology

In the spring of 2020, this study was done as a factorial test in a randomized complete block design with three replications. The first factor was the use o

SUBMITTER: Keshtehgar A 

PROVIDER: S-EPMC10552743 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature