Alfred P. Pantaleon, ZJ
G. Villanueva, Marisol C. Salvador, and Venus D. Siong, from the institute
of Philippines. wrote a Research Article about, Modeling Mung Bean Growth
with Polynomial Interpolation: Insights for Better Cultivation. Entitled, Understanding
growth patterns of mung beans (Vigna radiata) through polynomial interpolation:
Implications for cultivation practices. This research paper published by the International Journal of Agronomy and Agricultural Research (IJAAR). an open access scholarly
research journal on Agronomy. under the affiliation of the International
Network For Natural Sciences| INNSpub. an open access multidisciplinary
research journal publisher.
Abstract
This study aims to explore the germination and growth patterns of mung bean seeds (Vigna radiata) through a polynomial interpolation fitting approach in a controlled environment. Mung beans are also popular in Asian diets, are used in many dishes, and have lots of nutritional value. The study is meant to describe the germination and growth pattern of mung beans over six successive days, performing height measurements and polynomial regression analysis for growth model development. Polynomial interpolation involves investing mung bean seeds in water and then measuring the average height of the beans each day. The data were analyzed using Newton’s divided difference polynomial interpolation. The findings revealed an initial phase of steep growth, followed by a steadier increase, signifying the plant’s maturity. The study has given a useful insight into various aspects of the growth dynamics of mung bean and has made a set of suggestions for the improvement of growth conditions concerning the crop and a research direction that can be followed in the future to further improve the yield of the crop.
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Introduction
A common food in Asian cuisine, mung beans are high in fiber, protein, and phytochemicals that are bioactive. They grow quickly and do well in warmer regions. For the coexistence of plant species and the development of communities, soil is an essential natural resource. It is important for the extraction of nutrients and water, which creates an environment that is conducive to plant growth. An essential stage in the life cycle of terrestrial angiosperms, seed germination has an impact on plant growth and seedling establishment. The following environmental elements have an impact on seed germination: light, oxygen, temperature, water, and chemical environment.
Dormancy patterns that fluctuate seasonally can interfere with seed germination and seedling survival. In order to produce crops efficiently, it is necessary to comprehend the factors that contribute to variation in seedling emergence. Unfavourable seed-bed conditions can impact a seedling's pre- and postgermination stages (Musa et al., 2022). Moreover, Philippines, an Asian country, is a nation that depends on agriculture. This country's geographic location in the Tropics is largely responsible for this fact. The majority of the crops that Filipinos utilize to prepare the meals that they serve at their dining tables, aside from rice, are produced by them. In the country, homes have a variety of fruits, vegetables, and root crops growing in their backyards. One of the vegetables commonly planted in the fields or backyards is the mung bean or “monggo” bean.
Mung bean sprouts, referred to as toge in the Philippines, are tiny green beans that are a member of the legume family and are frequently used as a vegetable in cooking. Rich in vitamins, minerals, and nutrients, they are thought to be beneficial for a variety of illnesses. Growth in the population and the rising number of people consuming mung bean sprouts as a main course, side dish, or substitute for other foods are driving demand for these sprouts. Since mung bean sprouts may be grown both indoors and outdoors, growing them is an excellent incentive.
The straightforward process of germination typically takes four to five days. For optimal germination, the pH of the soil, seedling positioning, and soil preparation are all critical. Common home items like containers, cloth/towels, and tap water can be used for indoor sprouting. It can grow for as long as the customer desires, but the typical germination time is between two and five days (Salvador et al., 2021).
In Asia, mung beans, scientifically known as Vigna radiata, are a mainstay in global cuisines (Pratap et al., 2021). Factors such as temperature, light, and moisture generally influence the growth and development of mung beans (Amitrano et al., 2020). Farmers can significantly improve the yields of their crops if they will be able to understand how mung beans grow and as a result optimize their cultivation techniques. Hence, there is a promising potential for such agricultural practices in this study.
Past research primarily focused on statistical analysis of the growth and development of mung beans, as studied by Idrisov et al. (2021) and Jadhav et al. (2023). Specifically, the study of Jadhav et al. (2023) delves into the multivariate analysis of the growth of mung beans. On the other hand, Idrisov et al. (2021) studied the statistical analysis of mung beans’ growth, development, and grain yield. However, there are limitations in this analysis, specifically in the complex connections between environmental factors and the development of plants.
Polynomial interpolation is a mathematical method that
can create a more precise representation of how different variables are related
in complex data sets (Gasca and Sauer, 2000). There were varied studies on
polynomial interpolation, such as predicting the stock prices of food
corporations (Chan, 2015), studying the various types and behaviors of
polynomial interpolations on the unit circle (Bahadur, 2022) and expounding the
different types of polynomial interpolation in several variables (Gupta and
Sharma, 2022). Also, literature on polynomial interpolation focused on (This
mathematical method is not yet expounded in crops such as mung beans.
Furthermore, Gupta and Sharma (2022) have expounded on the use of mathematical modeling in the growth of plants and specifically how polynomial interpolation is helpful for the prediction of plant growth. Still, no research has been done in this manner for mung beans.
A gap exists at present in the current literature specifically on how mung beans grow using polynomial interpolation. This study fills the above-mentioned gap by using polynomial interpolation to study how mung beans grow in a controlled environment. Specifically, the researchers have (i) measured mung bean growth over a specified number of days and (ii) used polynomial interpolation in creating a model showing mung bean growth. Hence, the study aims to help us comprehend the growth pattern of mung beans and gives us ideas for growing this crop to improve its yield. The scope of the study includes the growth of mung beans in a controlled setting over six days. The data collected will be analyzed using the polynomial interpolation method.
Reference
Amitrano C, Arena C, De
Pascale S, De Micco V. 2020. Light and low relative humidity increase
antioxidants content in mung bean (Vigna radiata L.) sprouts. Plants 9(9),
1093.
Bahadur S. 2022. A
study of different types of interpolating polynomials and their convergence
behaviour on non-uniformly distributed set of nodes on the unit circle.
Barbagallo M,
Andrzejewski J, Mastromarco M, Perkowski J, Damone LA, Gawlik A, Cosentino
L. 2017. Experimental setup and procedure for the measurement of the
7Be(n,p)7Li reaction at n_TOF. Available from: https://arxiv.org/pdf/1708.01178
Salvador A, Bucu G, Ngo
J, Lugay C. 2021 Experimental Analysis on Determination of Significant
Factors in Growing Mung Bean Sprouts (Length) in a Home-Based Set Up (Non-Soil
Germination). In 6th North American International Conference on Industrial
Engineering and Operations Management 2021 Nov 3,
https://doi.org/10.46254/NA06.20210440.
Chan B, Choa KA, Lee E,
Villagracia AR. 2015. Characterization of polynomial interpolation on
Jollibee.
Gasca M, Sauer T. 2000.
Polynomial interpolation in several variables. Advances in Computational
Mathematics 12, 377-410.
Gupta A, Sharma R. 2022.
Mathematical modeling of plant growth: Applications in agriculture. Journal of
Plant Sciences 30(4), 201-215.
Idrisov XA, Yusupova
MA, Gaziyev MA, Qodirov JJ, Fteacher AR, Tteacher SZ. 2021. Results of
analytical study of growth, development, grain yield and quality of mung bean
varieties as main and reproductive crops.
Jadhav RA, Mehtre SP,
Patil DK, Gite VK. 2023. Multivariate analysis using D2 and principal
component analysis in mung bean [Vigna radiata (L.) Wilczek] for study of
genetic diversity. Legume Research-An International Journal 46(1), 10-17.
Khan S, Samarasinghe
K. 2022. Understanding growth patterns of mung beans: Implications
for cultivation practices. Agricultural Research Journal, 40(4), 321-335.
Lee S, Chunjuan L, Ke
D, Honglu W. 2018. Environmental factors influencing mung bean growth: A
comparative study. Journal of Agricultural Science 25(3), 112-125.
Musa MJB, Pendiaman NB,
Sansarona SD, Sihawe AS, Tingara-an AM, Tingara-an JM, Yassin RM, Bandera AD. 2022.
Germination rate of mung bean (Vigna radiata) seeds on different types of soil
textures. IEEE – SEM 10(11), 26-32.
Patel A, Singh B. 2014.
Environmental factors influencing mung bean growth: A review. International
Journal of Plant Sciences 12(2), 87-94.
Pratap A, Gupta S,
Rathore M, Basavaraja T, Singh CM, Prajapati U, Kumari G. 2021. Mungbean.
In the Beans and the Peas. Woodhead Publishing 1-32.
Sharma R, Amjed A,
Muhammad AN. 2018. Optimizing growth conditions for enhanced yield of mung
beans. Journal of Agricultural Science 25(3), 112-125.
Wang Y, Chen L. 2019.
Effects of light exposure on mung bean growth: A case study in controlled environments.
Plant Growth Research 17(2), 45-58.
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