SlideShare a Scribd company logo
1 of 12
Download to read offline
An Analysis of factors effecting Rice
Production in India
Project Report
1/25/2016
Submitted By
Tushar Sharma
Utkarsh Mishra
Mrinal Rajpal
Table of Contents
Abstract-........................................................................................................................................................2
Keywords:......................................................................................................................................................2
Introduction ..................................................................................................................................................2
Rice in Perspective....................................................................................................................................2
About Rice.....................................................................................................................................................3
History of Rice in India..................................................................................................................................3
Climatic Requirements..................................................................................................................................4
Objective-......................................................................................................................................................4
Methodology.................................................................................................................................................4
Rainfall ..........................................................................................................................................................5
FERTILIZER.....................................................................................................................................................5
Background ...................................................................................................................................................6
Analysis .........................................................................................................................................................6
Trend.........................................................................................................................................................6
Time series Analysis ..................................................................................................................................6
Interpretation .............................................................................................................................................10
Conclusion...................................................................................................................................................10
References ..................................................................................................................................................11
Abstract-
In this paper a broad study is completed to appraise the rice production in India in
light of present and historical information. The critical components concentrated
on are, land utilized, fertilizer, rainfall and production separately. To study the
strength of interdependence between the factors and estimation of production
multivariate correlation analysis and regression analysis have been applied. To
encourage the whole study and look after quality, consistency and precision of
information SPSS-20.0 version software is used.
Keywords: Rice production, land used, fertilizer, rainfall and multivariate
regression analysis.
Introduction
Rice in Perspective
In a Balinese legend, the lord Vishnu, male god of fertility and water, came to
earth to provide better food for the people who had only sugarcane juice as food.
Vishnu made Mother Earth give birth to rice and then fought Indra, lord of the
heavens, to force him to teach men to grow rice. Thus rice, as a source of life and
wealth and as a gift from the gods, was born from a union of the divine creative
forces represented in earth and water. Rice, therefore, was treated with
reverence
and respect and its culture developed into an elaborate ritual. Even today the
Balinese are considered efficient rice-growers in the Indonesian archipelago.
The importance of rice as a daily food is expressed differently in different
countries. For example, some people in Indonesia believe that the rice grain has a
soul like a human being. In Sri Lanka, astrologers are often consulted and prayers
offered before rice is planted. In southern China and parts of India, people greet
each other by saying, “Have you eaten your rice?”
In Japan, rice was considered second only to the emperor in sacredness. In fact,
the emperor, in annual solemn ceremonies, planted a few grains of rice in the
palace grounds (Hammond 1961). Money can be squandered by the prodigal and
he will be forgiven, but there is no forgiveness for a person who willfully
throwaways a handful of rice. This veneration for rice among the Japanese people
has its roots in mythology and the dawn of history, and it is not unlike the
significance attached to the food gods by all ancient people. The difference in
Japan, however, is that rice was in ancient days considered to be the food of the
gods and the samurais (Rabbitt 1940).
Most of these beliefs and practices have changed over the years but rice has
remained truly “life itself” for most of the world’s densely populated regions.
The ancient home of rice is monsoonal Asia. And it remains the area of the world
where rice is practically the whole of the people’s diet, nearly all of their
agriculture, and much of their hopes. Rice is clearly the most important food crop
of the world if one considers the area under rice cultivation and the number of
people depending on the crop.[1]
About Rice
Oryza Sativa, it is believed, is associated with wet, humid climate, though it is not
a tropical plant. It is probably a descendent of wild grass that was most likely
cultivated in the foothills of the far Eastern Himalayas. Another school of thought
believes that the rice plant may have originated in southern India, then spread to
the north of the country and then onwards to China. It then arrived in Korea, the
Philippines (about 2000 B. C.) and then Japan and Indonesia (about 1000 B. C.).
The journey of rice around the world has been slow, but once it took root it
stayed and became a major agriculture and economic product for the people. In
the Indian subcontinent more than a quarter of the cultivated land is given to rice
(20011-12). It is a very essential part of the daily meal in the southern and eastern
parts of India. In the northern and central parts of the subcontinent, where wheat
is frequently eaten, rice holds its own and is cooked daily as well as on festivals
and special occasions.[2]
History of Rice in India
India is an important center of rice cultivation. The rice is cultivated on the largest
areas in India. Historians believe that while the indica variety of rice was first
domesticated in the area covering the foothills of the Eastern Himalayas (i.e.
north-eastern India), stretching through Burma, Thailand, Laos, Vietnam and
Southern China, the japonica variety was domesticated from wild rice in southern
China which was introduced to India. Perennial wild rice still grow in Assam and
Nepal. It seems to have appeared around 1400 BC in southern India after its
domestication in the northern plains. It then spread to all the fertile alluvial plains
watered by rivers. Some says that the word rice is derived from the Tamil word
arisi.[2]
Climatic Requirements
In India rice is grown under widely varying conditions of altitude and climate. Rice
cultivation in India extends from 8 to35ºN latitude and from sea level to as high as
3000 meters. Rice crop needs a hot and humid climate. It is best suited to regions
which have high humidity, prolonged sunshine and an assured supply of water.
The average temperature required throughout the life period of the crop ranges
from 21 to 37º C. Maximum temp which the crop can tolerate 400C to 42 0C. [2]
Objective-
To establish the relationship and effect of various factors of production (rainfall,
fertilizer and land utilized) on the yield of rice.
Methodology
Regression analysis: In statistics, linear regression is an approach for modeling the
relationship between a scalar dependent variable y and one or more explanatory
variables (or independent variables) denoted by X. The case of one explanatory
variable is called simple linear regression.
Multiple regression is regression with two or more independent variables on the
right-hand side of the equation. Use multiple regression if more than one cause is
associated with the effect you wish to
In multiple regression, the criterion is predicted by two or more variables.
Rainfall
Variability in the amount and distribution of rainfall is the most important factor
limiting yields of rainfed rice, which constitutes about 80% of the rice grown in
South and Southeast Asia. For the same amount of rainfall, the coefficient of
variability of the rainfall is higher in the tropics than in the temperate areas. In
Low-rainfall areas, variability is high regardless of latitude (De Datta 1970).
Unfortunately, the world’s two largest rice-growing countries, India and
China, have many areas that receive less than 1200-1500 mm of rainfall. India,
with the largest rice-growing area in the world, often has inadequate or excessive
rainfall during the rainy season. As a result, drought or flood, and sometimes
both, cause substantial damage to rainfed rice production.
FERTILIZER
Plant nutrition as a science began to develop in 1840 when the German physical
chemist Justus von Liebig suggested that crop yields were directly related to the
content of plant nutrients or mineral elements in the manure applied to the soil.
Fertilizer use efficiency is the output of any crop per unit of fertilizer nutrient
applied under a specific set of soil and climatic conditions. Recently, Barber
(1977) defined fertilizer efficiency as the increase in yield of the harvested portion
of the crop per unit of fertilizer nutrient applied.
Background
Analysis
Trend
There is an upward trend as depicted in Figure, the rice production in India has
been increasing steadily. There is a 196%, growth of rice production from 1980 to
2013.
Time series Analysis
From the collected historical data, it is easy to analyze the factors which are
affecting the production of rice.
53.63
63.83
74.29 73.98
84.98
91.79
105.24
0
20
40
60
80
100
120
1980-81 1985-86 1990-91 1995-96 2000-2001 2005-2006 2012-2013
Rice Production (Million Tones)
Table – 1
From Table – 1, it is clear that the data collected for analysis is normally
distributed, the significance value of all the factors is greater than the value of
alpha.
Table – 2
As per Table-2, production of rice is highly correlated with the land utilized and
the quantity of fertilizer, but it is negatively correlated with annual rainfall, but
this correlation is statistically insignificant. The increase or decrease of rainfall
does not have any impact on the production.
Table -3
From, Table-3, the adjusted R2
= .954, which shows that 95.4% of the variation of
rice production in India can be explained by the independent variables.
The D-W value = 1.873, shows there is no problem of autocorrelation in the
model, overall the model is a good fit.
Table - 4
Table -4 is the ANOVA, where the significance of F is .000, this indicates that the
model is statically significant at the confidence level of 95%.
Table-5
Table -5, shows the value of the trend line Y = -107.370 +3.289L+.017R+.176F
Where,
Y: Production
L: Land utilized
R: Annual rainfall
F: Fertilizer
These three independent variables are statistically significant for the trend model
as the p-values are less than .05.
The VIF values for all the three independent variables are less than 10, thus no
problem of multicollinearity.
Interpretation
The production of rice is positively correlated with land utilized and the quantity
of fertilizer used.
 One Unit Change in F, will change the value of Y by 0.176
 One unit change in R , will change value Y by .017
 One unit change in L , will change value of Y by 3.289
Conclusion
As per above analysis, the rice production in India is greatly affected by land
utilized and the quantity of fertilizer used for the cultivation.
Our policy makers believe, good rainfall will produce good amount of rice, but as
per our analysis the rainfall has a minimal impact on the production of rice.
The impact of shortage of rainfall can be compensated by the water which comes
from various sources of irrigation, dams and canals.
References
 Principles and Practices of Rice Production by Surjit Kumar De Dutta[1].
 A Prediction on Rice Production in India through Multivariate Regression
Analysis by Somu Jena[2]
 RBI, www.rbi.com
 http://articles.economictimes.indiatimes.com/2015-09-
16/news/66604515_1_foodgrain-production-advance-estimate-tonnes
 AIREA, http://www.airea.net/
 Ministry of Agriculture, http://agricoop.nic.in/

More Related Content

Similar to An analysis of factors effecting rice production in india

Land & agricultural resourse
Land & agricultural resourseLand & agricultural resourse
Land & agricultural resoursesavitanarayan29
 
Natural Vegetation And Wild Life ppt.pdf
Natural Vegetation And Wild Life ppt.pdfNatural Vegetation And Wild Life ppt.pdf
Natural Vegetation And Wild Life ppt.pdfSTARPLAYZ
 
Economics Assignment 1.pptx
Economics Assignment 1.pptxEconomics Assignment 1.pptx
Economics Assignment 1.pptxSharonJacob16
 
AGRICULTURAL RESOURCES IN INDIA
AGRICULTURAL RESOURCES IN INDIAAGRICULTURAL RESOURCES IN INDIA
AGRICULTURAL RESOURCES IN INDIADr. Jaison Mammen
 
Agriculture geography
Agriculture   geographyAgriculture   geography
Agriculture geographypramodhhj
 
Class X Geography Agriculture
Class X Geography AgricultureClass X Geography Agriculture
Class X Geography AgricultureRamjee Nagarajan
 
Indian agriculture:overview, types,major crops, Changing Trade Scenario & Cha...
Indian agriculture:overview, types,major crops, Changing Trade Scenario & Cha...Indian agriculture:overview, types,major crops, Changing Trade Scenario & Cha...
Indian agriculture:overview, types,major crops, Changing Trade Scenario & Cha...Machiraju Presentations Pvt. Ltd.
 
S.Sc. Project [Class 8] AGRICULTURE
S.Sc. Project [Class 8]  AGRICULTURE S.Sc. Project [Class 8]  AGRICULTURE
S.Sc. Project [Class 8] AGRICULTURE pragyascarlet
 
Agrotechnology of rice
Agrotechnology of riceAgrotechnology of rice
Agrotechnology of riceSangeeta Das
 
Water and waste water treatment opportunity in india
Water and waste water treatment opportunity in indiaWater and waste water treatment opportunity in india
Water and waste water treatment opportunity in indiatrade-gov-il
 
Rice cultivation.pptx.......
Rice cultivation.pptx.......Rice cultivation.pptx.......
Rice cultivation.pptx.......Mohd Irshad
 
Major crops in India -Food processing.pptx
Major crops in India -Food processing.pptxMajor crops in India -Food processing.pptx
Major crops in India -Food processing.pptxALKANANDA7
 

Similar to An analysis of factors effecting rice production in india (20)

Land & agricultural resourse
Land & agricultural resourseLand & agricultural resourse
Land & agricultural resourse
 
Natural Vegetation And Wild Life ppt.pdf
Natural Vegetation And Wild Life ppt.pdfNatural Vegetation And Wild Life ppt.pdf
Natural Vegetation And Wild Life ppt.pdf
 
Economics Assignment 1.pptx
Economics Assignment 1.pptxEconomics Assignment 1.pptx
Economics Assignment 1.pptx
 
Agriculture
AgricultureAgriculture
Agriculture
 
AGRICULTURAL RESOURCES IN INDIA
AGRICULTURAL RESOURCES IN INDIAAGRICULTURAL RESOURCES IN INDIA
AGRICULTURAL RESOURCES IN INDIA
 
rice.pdf
rice.pdfrice.pdf
rice.pdf
 
Agriculture geography
Agriculture   geographyAgriculture   geography
Agriculture geography
 
Class X Geography Agriculture
Class X Geography AgricultureClass X Geography Agriculture
Class X Geography Agriculture
 
GEOGRAPHY OF INDIA
GEOGRAPHY OF INDIAGEOGRAPHY OF INDIA
GEOGRAPHY OF INDIA
 
Indian agriculture:overview, types,major crops, Changing Trade Scenario & Cha...
Indian agriculture:overview, types,major crops, Changing Trade Scenario & Cha...Indian agriculture:overview, types,major crops, Changing Trade Scenario & Cha...
Indian agriculture:overview, types,major crops, Changing Trade Scenario & Cha...
 
S.Sc. Project [Class 8] AGRICULTURE
S.Sc. Project [Class 8]  AGRICULTURE S.Sc. Project [Class 8]  AGRICULTURE
S.Sc. Project [Class 8] AGRICULTURE
 
Ncert agro
Ncert agroNcert agro
Ncert agro
 
Agrotechnology of rice
Agrotechnology of riceAgrotechnology of rice
Agrotechnology of rice
 
Water and waste water treatment opportunity in india
Water and waste water treatment opportunity in indiaWater and waste water treatment opportunity in india
Water and waste water treatment opportunity in india
 
Agriculture in india ppt
Agriculture in india pptAgriculture in india ppt
Agriculture in india ppt
 
Agricultureinindian
AgricultureinindianAgricultureinindian
Agricultureinindian
 
Agron 201.pptx
Agron 201.pptxAgron 201.pptx
Agron 201.pptx
 
Rice cultivation.pptx.......
Rice cultivation.pptx.......Rice cultivation.pptx.......
Rice cultivation.pptx.......
 
Major crops in India -Food processing.pptx
Major crops in India -Food processing.pptxMajor crops in India -Food processing.pptx
Major crops in India -Food processing.pptx
 
Full agriculture
Full agricultureFull agriculture
Full agriculture
 

More from Tushar Sharma

Digital transformation in IT Industry
Digital transformation in IT IndustryDigital transformation in IT Industry
Digital transformation in IT IndustryTushar Sharma
 
Digital business transformation- IT Strategy
Digital business transformation- IT StrategyDigital business transformation- IT Strategy
Digital business transformation- IT StrategyTushar Sharma
 
The Fall of Kodak- A tale of disruptive technology and bad business
The Fall of Kodak- A tale of disruptive technology and bad businessThe Fall of Kodak- A tale of disruptive technology and bad business
The Fall of Kodak- A tale of disruptive technology and bad businessTushar Sharma
 
Supply chain analysis of KFC India
Supply chain analysis of KFC IndiaSupply chain analysis of KFC India
Supply chain analysis of KFC IndiaTushar Sharma
 
Product Perception and Purchase Intention at a Local Bakery
Product Perception and Purchase Intention at a Local BakeryProduct Perception and Purchase Intention at a Local Bakery
Product Perception and Purchase Intention at a Local BakeryTushar Sharma
 
Marketing plan -Xiomi New Product Development
Marketing plan -Xiomi New Product DevelopmentMarketing plan -Xiomi New Product Development
Marketing plan -Xiomi New Product DevelopmentTushar Sharma
 
Corporate Sustainability- Maruti Suzuki
Corporate Sustainability- Maruti SuzukiCorporate Sustainability- Maruti Suzuki
Corporate Sustainability- Maruti SuzukiTushar Sharma
 
Analysis of consumer preferences for new smartphone - Xiomi India
Analysis of consumer preferences for new smartphone - Xiomi IndiaAnalysis of consumer preferences for new smartphone - Xiomi India
Analysis of consumer preferences for new smartphone - Xiomi IndiaTushar Sharma
 
Detailed Analysis of Tata Motors Ltd. by calculating its cost of capital usin...
Detailed Analysis of Tata Motors Ltd. by calculating its cost of capital usin...Detailed Analysis of Tata Motors Ltd. by calculating its cost of capital usin...
Detailed Analysis of Tata Motors Ltd. by calculating its cost of capital usin...Tushar Sharma
 
IoT-The Internet of Things
IoT-The Internet of ThingsIoT-The Internet of Things
IoT-The Internet of ThingsTushar Sharma
 
Mergers and Acquisition- Flipkart & Myntra
Mergers and Acquisition- Flipkart & MyntraMergers and Acquisition- Flipkart & Myntra
Mergers and Acquisition- Flipkart & MyntraTushar Sharma
 

More from Tushar Sharma (11)

Digital transformation in IT Industry
Digital transformation in IT IndustryDigital transformation in IT Industry
Digital transformation in IT Industry
 
Digital business transformation- IT Strategy
Digital business transformation- IT StrategyDigital business transformation- IT Strategy
Digital business transformation- IT Strategy
 
The Fall of Kodak- A tale of disruptive technology and bad business
The Fall of Kodak- A tale of disruptive technology and bad businessThe Fall of Kodak- A tale of disruptive technology and bad business
The Fall of Kodak- A tale of disruptive technology and bad business
 
Supply chain analysis of KFC India
Supply chain analysis of KFC IndiaSupply chain analysis of KFC India
Supply chain analysis of KFC India
 
Product Perception and Purchase Intention at a Local Bakery
Product Perception and Purchase Intention at a Local BakeryProduct Perception and Purchase Intention at a Local Bakery
Product Perception and Purchase Intention at a Local Bakery
 
Marketing plan -Xiomi New Product Development
Marketing plan -Xiomi New Product DevelopmentMarketing plan -Xiomi New Product Development
Marketing plan -Xiomi New Product Development
 
Corporate Sustainability- Maruti Suzuki
Corporate Sustainability- Maruti SuzukiCorporate Sustainability- Maruti Suzuki
Corporate Sustainability- Maruti Suzuki
 
Analysis of consumer preferences for new smartphone - Xiomi India
Analysis of consumer preferences for new smartphone - Xiomi IndiaAnalysis of consumer preferences for new smartphone - Xiomi India
Analysis of consumer preferences for new smartphone - Xiomi India
 
Detailed Analysis of Tata Motors Ltd. by calculating its cost of capital usin...
Detailed Analysis of Tata Motors Ltd. by calculating its cost of capital usin...Detailed Analysis of Tata Motors Ltd. by calculating its cost of capital usin...
Detailed Analysis of Tata Motors Ltd. by calculating its cost of capital usin...
 
IoT-The Internet of Things
IoT-The Internet of ThingsIoT-The Internet of Things
IoT-The Internet of Things
 
Mergers and Acquisition- Flipkart & Myntra
Mergers and Acquisition- Flipkart & MyntraMergers and Acquisition- Flipkart & Myntra
Mergers and Acquisition- Flipkart & Myntra
 

Recently uploaded

Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiLow Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiSuhani Kapoor
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...Suhani Kapoor
 
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...Pooja Nehwal
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...Florian Roscheck
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts ServiceSapana Sha
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfSocial Samosa
 
Data Warehouse , Data Cube Computation
Data Warehouse   , Data Cube ComputationData Warehouse   , Data Cube Computation
Data Warehouse , Data Cube Computationsit20ad004
 
Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...
Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...
Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...shivangimorya083
 
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsappssapnasaifi408
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998YohFuh
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Sapana Sha
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 

Recently uploaded (20)

Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiLow Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
 
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
 
E-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptxE-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptx
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts Service
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
 
Data Warehouse , Data Cube Computation
Data Warehouse   , Data Cube ComputationData Warehouse   , Data Cube Computation
Data Warehouse , Data Cube Computation
 
Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...
Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...
Full night 🥵 Call Girls Delhi New Friends Colony {9711199171} Sanya Reddy ✌️o...
 
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998
 
Russian Call Girls Dwarka Sector 15 💓 Delhi 9999965857 @Sabina Modi VVIP MODE...
Russian Call Girls Dwarka Sector 15 💓 Delhi 9999965857 @Sabina Modi VVIP MODE...Russian Call Girls Dwarka Sector 15 💓 Delhi 9999965857 @Sabina Modi VVIP MODE...
Russian Call Girls Dwarka Sector 15 💓 Delhi 9999965857 @Sabina Modi VVIP MODE...
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 

An analysis of factors effecting rice production in india

  • 1. An Analysis of factors effecting Rice Production in India Project Report 1/25/2016 Submitted By Tushar Sharma Utkarsh Mishra Mrinal Rajpal
  • 2. Table of Contents Abstract-........................................................................................................................................................2 Keywords:......................................................................................................................................................2 Introduction ..................................................................................................................................................2 Rice in Perspective....................................................................................................................................2 About Rice.....................................................................................................................................................3 History of Rice in India..................................................................................................................................3 Climatic Requirements..................................................................................................................................4 Objective-......................................................................................................................................................4 Methodology.................................................................................................................................................4 Rainfall ..........................................................................................................................................................5 FERTILIZER.....................................................................................................................................................5 Background ...................................................................................................................................................6 Analysis .........................................................................................................................................................6 Trend.........................................................................................................................................................6 Time series Analysis ..................................................................................................................................6 Interpretation .............................................................................................................................................10 Conclusion...................................................................................................................................................10 References ..................................................................................................................................................11
  • 3. Abstract- In this paper a broad study is completed to appraise the rice production in India in light of present and historical information. The critical components concentrated on are, land utilized, fertilizer, rainfall and production separately. To study the strength of interdependence between the factors and estimation of production multivariate correlation analysis and regression analysis have been applied. To encourage the whole study and look after quality, consistency and precision of information SPSS-20.0 version software is used. Keywords: Rice production, land used, fertilizer, rainfall and multivariate regression analysis. Introduction Rice in Perspective In a Balinese legend, the lord Vishnu, male god of fertility and water, came to earth to provide better food for the people who had only sugarcane juice as food. Vishnu made Mother Earth give birth to rice and then fought Indra, lord of the heavens, to force him to teach men to grow rice. Thus rice, as a source of life and wealth and as a gift from the gods, was born from a union of the divine creative forces represented in earth and water. Rice, therefore, was treated with reverence and respect and its culture developed into an elaborate ritual. Even today the Balinese are considered efficient rice-growers in the Indonesian archipelago. The importance of rice as a daily food is expressed differently in different countries. For example, some people in Indonesia believe that the rice grain has a soul like a human being. In Sri Lanka, astrologers are often consulted and prayers offered before rice is planted. In southern China and parts of India, people greet each other by saying, “Have you eaten your rice?” In Japan, rice was considered second only to the emperor in sacredness. In fact, the emperor, in annual solemn ceremonies, planted a few grains of rice in the palace grounds (Hammond 1961). Money can be squandered by the prodigal and he will be forgiven, but there is no forgiveness for a person who willfully throwaways a handful of rice. This veneration for rice among the Japanese people
  • 4. has its roots in mythology and the dawn of history, and it is not unlike the significance attached to the food gods by all ancient people. The difference in Japan, however, is that rice was in ancient days considered to be the food of the gods and the samurais (Rabbitt 1940). Most of these beliefs and practices have changed over the years but rice has remained truly “life itself” for most of the world’s densely populated regions. The ancient home of rice is monsoonal Asia. And it remains the area of the world where rice is practically the whole of the people’s diet, nearly all of their agriculture, and much of their hopes. Rice is clearly the most important food crop of the world if one considers the area under rice cultivation and the number of people depending on the crop.[1] About Rice Oryza Sativa, it is believed, is associated with wet, humid climate, though it is not a tropical plant. It is probably a descendent of wild grass that was most likely cultivated in the foothills of the far Eastern Himalayas. Another school of thought believes that the rice plant may have originated in southern India, then spread to the north of the country and then onwards to China. It then arrived in Korea, the Philippines (about 2000 B. C.) and then Japan and Indonesia (about 1000 B. C.). The journey of rice around the world has been slow, but once it took root it stayed and became a major agriculture and economic product for the people. In the Indian subcontinent more than a quarter of the cultivated land is given to rice (20011-12). It is a very essential part of the daily meal in the southern and eastern parts of India. In the northern and central parts of the subcontinent, where wheat is frequently eaten, rice holds its own and is cooked daily as well as on festivals and special occasions.[2] History of Rice in India India is an important center of rice cultivation. The rice is cultivated on the largest areas in India. Historians believe that while the indica variety of rice was first domesticated in the area covering the foothills of the Eastern Himalayas (i.e. north-eastern India), stretching through Burma, Thailand, Laos, Vietnam and Southern China, the japonica variety was domesticated from wild rice in southern
  • 5. China which was introduced to India. Perennial wild rice still grow in Assam and Nepal. It seems to have appeared around 1400 BC in southern India after its domestication in the northern plains. It then spread to all the fertile alluvial plains watered by rivers. Some says that the word rice is derived from the Tamil word arisi.[2] Climatic Requirements In India rice is grown under widely varying conditions of altitude and climate. Rice cultivation in India extends from 8 to35ºN latitude and from sea level to as high as 3000 meters. Rice crop needs a hot and humid climate. It is best suited to regions which have high humidity, prolonged sunshine and an assured supply of water. The average temperature required throughout the life period of the crop ranges from 21 to 37º C. Maximum temp which the crop can tolerate 400C to 42 0C. [2] Objective- To establish the relationship and effect of various factors of production (rainfall, fertilizer and land utilized) on the yield of rice. Methodology Regression analysis: In statistics, linear regression is an approach for modeling the relationship between a scalar dependent variable y and one or more explanatory variables (or independent variables) denoted by X. The case of one explanatory variable is called simple linear regression. Multiple regression is regression with two or more independent variables on the right-hand side of the equation. Use multiple regression if more than one cause is associated with the effect you wish to In multiple regression, the criterion is predicted by two or more variables.
  • 6. Rainfall Variability in the amount and distribution of rainfall is the most important factor limiting yields of rainfed rice, which constitutes about 80% of the rice grown in South and Southeast Asia. For the same amount of rainfall, the coefficient of variability of the rainfall is higher in the tropics than in the temperate areas. In Low-rainfall areas, variability is high regardless of latitude (De Datta 1970). Unfortunately, the world’s two largest rice-growing countries, India and China, have many areas that receive less than 1200-1500 mm of rainfall. India, with the largest rice-growing area in the world, often has inadequate or excessive rainfall during the rainy season. As a result, drought or flood, and sometimes both, cause substantial damage to rainfed rice production. FERTILIZER Plant nutrition as a science began to develop in 1840 when the German physical chemist Justus von Liebig suggested that crop yields were directly related to the content of plant nutrients or mineral elements in the manure applied to the soil. Fertilizer use efficiency is the output of any crop per unit of fertilizer nutrient applied under a specific set of soil and climatic conditions. Recently, Barber (1977) defined fertilizer efficiency as the increase in yield of the harvested portion of the crop per unit of fertilizer nutrient applied.
  • 7. Background Analysis Trend There is an upward trend as depicted in Figure, the rice production in India has been increasing steadily. There is a 196%, growth of rice production from 1980 to 2013. Time series Analysis From the collected historical data, it is easy to analyze the factors which are affecting the production of rice. 53.63 63.83 74.29 73.98 84.98 91.79 105.24 0 20 40 60 80 100 120 1980-81 1985-86 1990-91 1995-96 2000-2001 2005-2006 2012-2013 Rice Production (Million Tones)
  • 8. Table – 1 From Table – 1, it is clear that the data collected for analysis is normally distributed, the significance value of all the factors is greater than the value of alpha.
  • 9. Table – 2 As per Table-2, production of rice is highly correlated with the land utilized and the quantity of fertilizer, but it is negatively correlated with annual rainfall, but this correlation is statistically insignificant. The increase or decrease of rainfall does not have any impact on the production. Table -3
  • 10. From, Table-3, the adjusted R2 = .954, which shows that 95.4% of the variation of rice production in India can be explained by the independent variables. The D-W value = 1.873, shows there is no problem of autocorrelation in the model, overall the model is a good fit. Table - 4 Table -4 is the ANOVA, where the significance of F is .000, this indicates that the model is statically significant at the confidence level of 95%. Table-5
  • 11. Table -5, shows the value of the trend line Y = -107.370 +3.289L+.017R+.176F Where, Y: Production L: Land utilized R: Annual rainfall F: Fertilizer These three independent variables are statistically significant for the trend model as the p-values are less than .05. The VIF values for all the three independent variables are less than 10, thus no problem of multicollinearity. Interpretation The production of rice is positively correlated with land utilized and the quantity of fertilizer used.  One Unit Change in F, will change the value of Y by 0.176  One unit change in R , will change value Y by .017  One unit change in L , will change value of Y by 3.289 Conclusion As per above analysis, the rice production in India is greatly affected by land utilized and the quantity of fertilizer used for the cultivation. Our policy makers believe, good rainfall will produce good amount of rice, but as per our analysis the rainfall has a minimal impact on the production of rice. The impact of shortage of rainfall can be compensated by the water which comes from various sources of irrigation, dams and canals.
  • 12. References  Principles and Practices of Rice Production by Surjit Kumar De Dutta[1].  A Prediction on Rice Production in India through Multivariate Regression Analysis by Somu Jena[2]  RBI, www.rbi.com  http://articles.economictimes.indiatimes.com/2015-09- 16/news/66604515_1_foodgrain-production-advance-estimate-tonnes  AIREA, http://www.airea.net/  Ministry of Agriculture, http://agricoop.nic.in/