Leaf nutrient levels are traditionally quantified by laboratory chemical analysis, which is time consuming and requires huge investment. The objective of this research is to estimate the nutrient content of groundnut leaves using an assembled visible near-infrared spectroradiometer (650-900 nm). This method is faster and requires less time and investment compared to conventional chemical analysis. Different fertilizer was applied for different conditions along with one control of groundnut plants. The nutrient deficiency in the groundnut plants was created artificially. The leaf samples were collected in the growth of different days. The samples were analyzed for major nutrient concentrations, which are acquired by field conditions. This research provides the guidelines on the nutrient estimation of the groundnut leaves. The peak reflectance esteem was seen in the infrared range (650-900 nm) and the reflectance value was observed for nitrogen (716 nm), phosphorus (737 nm), and potassium (720 nm). This study may provide guidelines for estimating macronutrients and yield estimation of groundnut plants.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.