An Economic Analysis of Coconut Farming in Karur District of Tamil Nadu, India

Vinodhini, C.; Deshmukh, K.V.

doi:10.20546/ijcmas.2017.612.176

Cited by 4 publications

(2 citation statements)

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“…"The ARIMA is an extrapolation method, which requires historical time series data of underlying variable. The methodology refers to the set of procedures for identifying, fitting, and checking ARIMA models with time series data" [10][11][12].…”

Section: Auto-regressive Integrated Moving Average (Arima) Modelmentioning

confidence: 99%

Study on Predicting the Price of Coconut in Tamil Nadu Market

Ahalya,

Murugananthi,

Rohini

et al. 2023

AJAEES

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Aims: The study aims to comprehensively analyze coconut cultivation trends in Tamil Nadu, covering area, production, yield, and market prices. Through data analysis, it seeks to reveal historical shifts in cultivation practices. The study also strives to develop precise price forecasting models for Coimbatore and Pollachi markets, enhancing insights into agricultural dynamics and enabling accurate price predictions. Study Design: Exploratory research design. Place and Duration of Study: The present study was conducted in the year 2023 during July and August Methodology: Secondary data was used for the present study. Secondary Data on area , production and productivity of coconut in Tamil Nadu was collected from 2000 to 2022 and price of coconut from 2012 to 2023 in selected market was collected. The research utilizes Compound Annual Growth Rate (CAGR) Analysis to identify the past trends in the area, production, and productivity of coconut in Tamil Nadu. Additionally, the Autoregressive Integrated Moving Average (ARIMA) models are employed to forecast the future trens in coconut price in Coimbatore and Pollachi market. Results: Area, Production and Productivity of coconut in Tamilnadu has shown a positive trend. Coconut cultivation is growing steadily with a 1.56% increase in cultivation area and a 2.089% rise in production, while productivity is also improving by 1.19% annually, indicating positive growth. ARIMA (1, 1, 1) for Coconut in the Coimbatore market and ARIMA (1, 1, 1) for coconut in the Pollachi market was found to provide the best fit for predicting the price of coconut in both markets. Conclusion: Increase in trend in area, production and productivity was observed in Tamil Nadu. ARIMA (1, 1, 1) was found to provide the best fit for predicting the price of coconut in both markets. The model predicted declining price in the forthcoming months (August – September, 2023). Increased area under cultivation and increased production of coconut in all the major growing States are the major reasons for declining prices. Efforts have to be made to increase the consumption of coconut value added products to sustain the price of coconut in the coming years.

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Section: Auto-regressive Integrated Moving Average (Arima) Modelmentioning

confidence: 99%

Study on Predicting the Price of Coconut in Tamil Nadu Market

Ahalya,

Murugananthi,

Rohini

et al. 2023

AJAEES

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“…The coconut seedlings are the first stage affecting the productivity of the perennial plant, which has a mean production-life of 40 years. Green dwarf coconut seeds have a low germination rate, and their seedlings have low vigor and quality primarily due to the incidence of leaf spots (Rabelo et al, 2006;Vinodhini and Deshmukh, 2017).…”

Section: Introductionmentioning

confidence: 99%

Bacillus cereus Improves Performance of Brazilian Green Dwarf Coconut Palms Seedlings With Reduced Chemical Fertilization

et al. 2021

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Coconut production in the Amazon requires the knowledge and development of sustainable technologies to alleviate the detrimental effects of inorganic chemical fertilizers and intensive farming practices. In this study, we investigated the effects of plant growth-promoting rhizobacteria (PGPR) isolated from coconut seedlings on nutrient use efficiency (NUE) and physiological mechanisms related to biomass accumulation of seedlings grown with reduced inorganic fertilizer levels. Of the 96 PGPR isolates tested on rice plants, the isolate Bacillus cereus (UFRABC40) was selected, as it resulted in the most significant gain in growth variables. In a commercial coconut tree nursery, we subjected seedlings to two treatments, both with seven replications: control 100% NPK chemical fertilizer (CF) and B. cereus + 50% NPK CF. The results indicated that the inoculation increased phytohormone levels [190% indole acetic acid (IAA), 31% gibberellic acid GA3, and 17% gibberellic acid GA4] and leaf gas exchange [48% by assimilation of CO2 (A), 35% stomatal conductance to water vapor (gs), 33% transpiration, and 57% instantaneous carboxylation efficiency] in leaves. Furthermore, growth parameters (shoot, root, and total dry weight, height, and diameter) and macro- and micronutrient levels (95% N, 44% P, 92% K, 103 Ca, 46% Fe, 84% B) were improved. Our results show the potential ability of strain Bacillus cereus UFRABC40 to promote the growth performance of coconut seedlings under decreased application of inorganic fertilizers. The application of microbial-based products in coconut seedling production systems improves plants’ physiological performance and the efficiency of nutrient use.

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A bio-physical and socio-economic impact analysis of using industrial treated wastewater in agriculture in Tamil Nadu, India

Sathaiah

Chandrasekaran

2020

Agricultural Water Management

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An Economic Analysis of Coconut Farming in Karur District of Tamil Nadu, India

Cited by 4 publications

References 0 publications

Study on Predicting the Price of Coconut in Tamil Nadu Market

Study on Predicting the Price of Coconut in Tamil Nadu Market

Bacillus cereus Improves Performance of Brazilian Green Dwarf Coconut Palms Seedlings With Reduced Chemical Fertilization

A bio-physical and socio-economic impact analysis of using industrial treated wastewater in agriculture in Tamil Nadu, India

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