ORIGINAL RESEARCH
Estimating Plant Macronutrients Using VNIR Spectroradiometry
 
More details
Hide details
1
Institute of Remote Sensing, Anna University Chennai, India
 
 
Submission date: 2018-01-17
 
 
Final revision date: 2018-03-27
 
 
Acceptance date: 2018-03-27
 
 
Online publication date: 2018-12-12
 
 
Publication date: 2019-02-18
 
 
Corresponding author
Balamurugan Mani   

Anna university, Institute of remote sensing, Anna university chennai, 6000025 chennai, India
 
 
Pol. J. Environ. Stud. 2019;28(3):1831-1837
 
KEYWORDS
TOPICS
ABSTRACT
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.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
CITATIONS (8):
1.
Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined Machine Learning Models
Gopal Ramdas Mahajan, Bappa Das, Dayesh Murgaokar, Ittai Herrmann, Katja Berger, Rabi N. Sahoo, Kiran Patel, Ashwini Desai, Shaiesh Morajkar, Rahul M. Kulkarni
Remote Sensing
 
2.
Optimization of solar water heating absorber riser with header tube using RSM and CFD simulation
Sivakumar Narayanasamy, George Iruthayasamy, Ramesh Perumal, Kalaivanan Ramasamy
Matéria (Rio de Janeiro)
 
3.
Unveiling the potential of Brachiaria ruziziensis: Comparative analysis of multivariate and machine learning models for biomass and NPK prediction using Vis-NIR-SWIR spectroscopy
Marlon Rodrigues, Everson Cezar, Glaucio Leboso Alemparte Abrantes dos Santos, Amanda Silveira Reis, Roney Berti de Oliveira, Leticia de Melo Teixeira, Marcos Rafael Nanni
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
 
4.
Pixel Based Soil Available NPK Estimation Using Landsat 8 OLI Satellite Data and Support Vector Regression
Mowshika J, Jayalakshmi S, Balamurugan M
Journal of the Indian Society of Remote Sensing
 
5.
Appraisal of Three Proximal Sensing Systems to Estimate Macronutrient Contents of Detached Soybean Leaves
Muharrem Keskin, Sait M. Say, Yunus Emre Sekerli, Mustafa Sehri
Communications in Soil Science and Plant Analysis
 
6.
Intelligent Computing and Applications
Amit Singh, Suneeta V. Budihal
 
7.
Rapid and cost‐effective assessment of nutrients in pistachio (Pistacia vera L.) leaves through Fourier transform near‐infrared spectroscopy (FT‐NIRS)
Yunus Emre Sekerli, Gokhan Buyuk, Muharrem Keskin, Nafiz Celiktas
Journal of Plant Nutrition and Soil Science
 
8.
Using Deep Convolutional Neural Network for Image-Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics
Mohamed Farag Taha, Alwaseela Abdalla, Gamal ElMasry, Mostafa Gouda, Lei Zhou, Nan Zhao, Ning Liang, Ziang Niu, Amro Hassanein, Salim Al-Rejaie, Yong He, Zhengjun Qiu
Chemosensors
 
eISSN:2083-5906
ISSN:1230-1485
Journals System - logo
Scroll to top