This document presents the objectives, methodology, findings and conclusions of a study on the impact of cold storage facilities on agriculture in Assam, India. The key findings are:
1) Cold storage capacity in Assam grew significantly from 2001-2011, reaching a total of 109,540.9 MT distributed across various districts.
2) During this period, the area, production and productivity of horticultural crops grew faster than food crops, with compound annual growth rates of 2.3%, 6.96% and 4.41% respectively for vegetables.
3) The production portfolio of farmers shifted somewhat towards horticulture as cold storage infrastructure increased, though cropping patterns were still determined more by local soil and location factors
The document analyzes the growth and instability of foodgrain production in Odisha, India over a 20-year period from 1995-1996 to 2014-2015 at the state and district level. It finds that while total foodgrain production experienced no growth in the first decade, the second decade saw impressive growth for all crops, especially other cereals which grew at 7.7% annually. At the district level, most districts also saw higher growth rates for paddy, other cereals, pulses and total foodgrains in the second decade compared to the first. However, some districts still experienced negative or low growth for certain crops. The study also found that instability or risk in foodgrain production decreased at the state level in the second
This document discusses the impacts of climate change on agriculture in the Dharwad district of Karnataka, India. It aims to study the association between cropping systems in the district over time. Key findings include:
- Global warming is projected to significantly impact agricultural conditions like temperature, precipitation, etc. Assessing climate change impacts can help adapt suitable farming practices.
- The study analyzed data on area and price of major crops (chilli, maize, groundnut, sorghum, cotton, soybean) in Dharwad district from 1995-2009.
- Results found that while crop areas saw some variation, cotton crop area was consistently first based on the Kendall's coefficient of concordance test
Presented at the Pulses for Sustainable Agriculture and Human Health” on 31 May-1 June 2016 at NASC, New Delhi, India. The conference was jointly organised by the International Food Policy Research Institute (IFPRI), National Academy of Agricultural Sciences (NAAS), TCi of Cornell University (TCi-CU) and Agriculture Today.
Presentation delivered by Dre. Ashok Gulati (Indian Council for Research on International Economic Relations, India) at Borlaug Summit on Wheat for Food Security. March 25 - 28, 2014, Ciudad Obregon, Mexico.
http://www.borlaug100.org
This document analyzes the growth and instability of oilseed production, with a focus on groundnut, across districts in Odisha, India over two time periods: 1995-1996 to 2004-2005 and 2005-2006 to 2014-2015. It finds that while groundnut production experienced overall negative growth in the first period, the second period saw remarkable improvement in growth rates for both groundnut and total oilseed production across most districts. However, 9 districts still saw negative growth rates for groundnut in the second period. Instability in production generally improved over the two periods as well, but 13 districts faced high instability levels in the second period that require targeted policy interventions. The study aims to identify clusters of districts by instability levels to
This document analyzes the economics of chili production in India. It finds that the cost of production per acre was highest for large farmers, followed by medium and small farmers. Net returns over costs were highest for medium farmers, followed by small and large farmers. Yield and gross returns per acre increased with farm size. The cost of production per quintal was highest for large farmers at all cost levels. Returns per rupee invested were higher for medium and small farmers than large farmers. Overall, the study finds that chili production is most economically viable for medium-sized farms in India.
Presented at the Pulses for Sustainable Agriculture and Human Health” on 31 May-1 June 2016 at NASC, New Delhi, India. The conference was jointly organised by the International Food Policy Research Institute (IFPRI), National Academy of Agricultural Sciences (NAAS), TCi of Cornell University (TCi-CU) and Agriculture Today.
The document analyzes the growth and instability of foodgrain production in Odisha, India over a 20-year period from 1995-1996 to 2014-2015 at the state and district level. It finds that while total foodgrain production experienced no growth in the first decade, the second decade saw impressive growth for all crops, especially other cereals which grew at 7.7% annually. At the district level, most districts also saw higher growth rates for paddy, other cereals, pulses and total foodgrains in the second decade compared to the first. However, some districts still experienced negative or low growth for certain crops. The study also found that instability or risk in foodgrain production decreased at the state level in the second
This document discusses the impacts of climate change on agriculture in the Dharwad district of Karnataka, India. It aims to study the association between cropping systems in the district over time. Key findings include:
- Global warming is projected to significantly impact agricultural conditions like temperature, precipitation, etc. Assessing climate change impacts can help adapt suitable farming practices.
- The study analyzed data on area and price of major crops (chilli, maize, groundnut, sorghum, cotton, soybean) in Dharwad district from 1995-2009.
- Results found that while crop areas saw some variation, cotton crop area was consistently first based on the Kendall's coefficient of concordance test
Presented at the Pulses for Sustainable Agriculture and Human Health” on 31 May-1 June 2016 at NASC, New Delhi, India. The conference was jointly organised by the International Food Policy Research Institute (IFPRI), National Academy of Agricultural Sciences (NAAS), TCi of Cornell University (TCi-CU) and Agriculture Today.
Presentation delivered by Dre. Ashok Gulati (Indian Council for Research on International Economic Relations, India) at Borlaug Summit on Wheat for Food Security. March 25 - 28, 2014, Ciudad Obregon, Mexico.
http://www.borlaug100.org
This document analyzes the growth and instability of oilseed production, with a focus on groundnut, across districts in Odisha, India over two time periods: 1995-1996 to 2004-2005 and 2005-2006 to 2014-2015. It finds that while groundnut production experienced overall negative growth in the first period, the second period saw remarkable improvement in growth rates for both groundnut and total oilseed production across most districts. However, 9 districts still saw negative growth rates for groundnut in the second period. Instability in production generally improved over the two periods as well, but 13 districts faced high instability levels in the second period that require targeted policy interventions. The study aims to identify clusters of districts by instability levels to
This document analyzes the economics of chili production in India. It finds that the cost of production per acre was highest for large farmers, followed by medium and small farmers. Net returns over costs were highest for medium farmers, followed by small and large farmers. Yield and gross returns per acre increased with farm size. The cost of production per quintal was highest for large farmers at all cost levels. Returns per rupee invested were higher for medium and small farmers than large farmers. Overall, the study finds that chili production is most economically viable for medium-sized farms in India.
Presented at the Pulses for Sustainable Agriculture and Human Health” on 31 May-1 June 2016 at NASC, New Delhi, India. The conference was jointly organised by the International Food Policy Research Institute (IFPRI), National Academy of Agricultural Sciences (NAAS), TCi of Cornell University (TCi-CU) and Agriculture Today.
Changing Patterns of General Crops in Nellore District, Andhra Pradeshijtsrd
Agricultural Geography is mainly concerned with the spatio temporal analysis of agricultural activities. The most striking characteristic feature of the present day agriculture is its great diversity of practice, products and organisation Grigg, D. 1969 . The bewildering diversity of agricultural practices and pattern of crop farming is due to diversity in topographical, agro climatic, cultural, socio economic and technological conditions Ramanaiah, Y.V., 1984 . A systematic study of crop land relationship not only helps agricultural regionalisation but also provides a scientific basis for land resource allocation to various agricultural crops and planning for maximum productivity Singh and Singh, 1970 . The spatial patterns and dynamics of cropland utilisation in agriculture have received due importance in the field of agricultural geography. The study of cropping pattern or crop land relationship helps to develop typology and taxonomy of agriculture. Hence in the present study an endeavour is made to study the changing spatial patterns of general crops in Nellore District, Andhra Pradesh for two trienniums i.e., 1987 90 and 2012 15 taking Mandal as unit. N. Bala Ankanna | A. Krishna Kumari "Changing Patterns of General Crops in Nellore District, Andhra Pradesh" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28055.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/geography/28055/changing-patterns-of-general-crops-in-nellore-district-andhra-pradesh/n-bala-ankanna
The study examined the efficiency of sorghum production in Maharashtra State, India. The technical, allocative and economic efficiencies of farmers producing sorghum were analysed from 100 randomly selected sorghum farmers. The maximum likelihood estimates of the stochastic frontier production function was used for the analysis, and the result revealed that farm size, labour, fertilizer and chemicals were significantly and positively related to sorghum output. The technical efficiency (TE) scores ranged from 0.28-0.94 with a mean TE of 0.67, implying that there is a scope for increasing technical efficiency in sorghum production by 33% in the short-run. The allocative efficiency index ranged from 0.11-0.90 with a mean of 0.54, implying that the average farm has the scope of increasing allocative efficiency by 46% in the short-run. The economic efficiency index ranged from 0.09-0.75 with a mean of 0.37, indicating wide efficiency differential between average farmers and the economically efficient farmers. The result of the stochastic frontier production function analysis showed that the variance parameters that is the sigma squared (ɗ2) and the gamma (ϒ) were statistically significant at 1% level of sorghum production
Dr Dev Kambhampati | Agricultural Statistics, India (2013)Dr Dev Kambhampati
This document is a preface and contents page for the "Pocket book on Agricultural Statistics 2013" published by the Directorate of Economics and Statistics, Ministry of Agriculture, Government of India.
It provides an overview of the key economic and social indicators included in the pocket book, such as GDP growth rates, agricultural production indexes, inflation rates, trade data, and more. It also outlines the 14 statistical tables that will be included, covering topics like population trends, agricultural land use, crop production, inputs and costs, prices and procurement, imports/exports, and international comparisons.
The preface explains that the pocket book is intended as a quick reference guide for policymakers and ministry officials to access frequently used agricultural data
Agricultural production in India is diversifying from production of cereals towards fruits and vegetables and livestock products such as milk and meat. Between Triennium Ending (TE) 1980-81 and TE 2009-10 the share of value of cereal output in total value of output in agriculture is declining while the shares of high value commodities like fruits, vegetables, milk and meat, is increasing.
IRJET- Trend Analysis of Cattle Deaths Due to FloodsIRJET Journal
This document analyzes cattle deaths due to floods in India from 1953 to 2015. It finds that cattle deaths have had an increasing trend overall but show a decreasing trend after 1980. This shift in trend is likely due to government policies like Operation Flood in the 1980s that increased veterinary support and guidelines for transporting cattle during disasters. While floods have impacted large areas and caused over 200,000 cattle deaths in some years, deaths have accounted for only 0.0387% of the total cattle population on average. The cattle population in India has grown overall despite periodic disasters and diseases.
Trends in Production and Export of Lentils in EthiopiaPremier Publishers
Lentils are among the major grain crops in Ethiopia that constituted the major food crops for the majority of the country’s population. It also served as a source of income at household level and a contributor for the country’s foreign currency earnings. The study was conducted to analyze the trend of production and export of Lentils in Ethiopia. Secondary data on production and export of the crop were used and analyzed using descriptive statistics. The study identified that, the total land area and the total volume of lentil production has increased at a compound growth rate of 4% and 9% respectively, while the productivity of the crop has shown a 5%compounded growth. Ethiopia exports on average 2,339,693 kg of lentils and incurred birr 18,684,845. Pakistan and United Arab Emirates are the highest recipients for Ethiopian lentils with a share of 20 % and 16 % respectively. Italy was the destination country from which highest value/kg (birr 25/kg) from Lentils export is received. Therefore, it is important to give more attention to the crop in research system so as to have more improved varieties and agronomic recommendations. On the other hand, we need to export the crop and its product to those countries which have high Value to volume ratio (VVR).
Technical Efficiency Differentials and Resource - Productivity Analysis amon...researchagriculture
- The study analyzed the technical efficiency and resource productivity of 96 smallholder soybean farmers in Benue State, Nigeria.
- Results from a transcendental logarithmic stochastic frontier model showed technical efficiencies varied widely from 0.254 to 0.999 with a mean of 0.718, indicating production was in stage III of irrational production.
- Land and fertilizer use was effective as confirmed by estimated coefficients between zero and one, depicting stage II production. Productivity could be enhanced by expanding farm size while maintaining labor to move from stage III to II.
Post-harvest losses in Ethiopia: measures and associates essp2
This document summarizes preliminary results from a study on post-harvest losses in Ethiopia conducted by researchers from FAO-MAFAP and IFPRI-ESSP. Some key findings include:
- Around 40-50% of households storing cereal crops reported losses during storage, with losses averaging around 5-7% of stored quantities.
- Factors associated with higher losses included higher household wealth, proximity to urban areas, and higher humidity during storage. Higher seasonal price gaps and temperatures were linked to lower losses.
- Most households stored crops for 3-6 months, and losses generally increased the longer crops were stored. The majority of households reported minor losses of 1-10% of stored quantities.
economy of production and labor requirement in major fieldIJEAB
Economic analysis is found as the major aspect of measurement of efficiency of a farm. In most cases, this part is lagging in Nepalese farmers. With the objective to find benefit cost ratio of growing different crops, identify profitable crops and estimate labor requirement for cultivation, this case study was performed. The scope of this case study isit helps farmers in selecting the crop comparing the profit and labor available. This study was done as a case study in Kavre district, Nepal. From this research, potato (B: C=2.44) and onion (B: C=1.95) were found the most profitable crops and wheat and maize the least. Labor requirement for onion was highest 643 men/ha and wheat was the lowest i.e. 142 men/ha.
This document discusses trends in high-value agriculture in India. It notes a shift from grains to higher-value commodities like fruits, vegetables, dairy and meat due to rising incomes, urbanization, and trade policies. Exports of high-value products like fruits and vegetables have grown significantly. Contract farming has allowed small farmers to access high-value domestic and export markets. Overall high-value agriculture provides opportunities for commercialization and income growth for smallholders through arrangements like contract farming. The document analyzes crop area and production data and makes recommendations to promote diversification and infrastructure to support high-value agriculture.
Efficiency Production Cost of Goat Farming in the Lowland and the Highland Ar...Agriculture Journal IJOEAR
— This research aims to determine the level of efficiency production cost of goat farming in the lowland and the highland areas in Mojo Sub-district of Kediri Regency. Location determination and 60 respondents based on purposive sampling method from the total of all farmers in Mojo Sub-district of Kediri Regency. Data collection was done by questionnaire technique, interview technique and documentation. To analyzed the data in this research used Data Envelopment Analysis (DEA) approach Measuring the efficiency production cost of goat farming used input variable that consist of the cost of shrinkage of cages, shrinkage tools, seeds, feeds, medicines and labor. Variable output was the revenue from the goats sale. The results showed that the efficiency of production cost of lowland goat farming was varies, farmers who achieve efficiency value equal to 1 was 9 farmers or 30% of the total respondents and 70% inefficient. Farmers in the highland who achieved the same level of efficiency as 1 was 15 farmers or 50% and the remaining 50% was inefficient. The use of input production costs in lowland and highland areas had a slack input value. Farmers in the lowland area could reduce the use of production costs in the form of 18% shrinkage of cages, 13% tool shrinkage, 6% seed, 2% feed, 6% medicine and 1.4% labor whereas breeders in the highland could reduce the use of costs production of 12% shrinkage of cages, 23% tool shrinkage, 11% seed, 10% feed, 12% medicine and 7% labor. Keywords— Data Envelopment Analysis, efficiency of production cost, goat farming, highland, lowland.
TEMPORAL DYNAMICS OF CROPPING PATTERN IN KERALAsreekanthskt
This document provides a summary of a research seminar presentation on crop diversification in Kerala, India. It discusses the objectives to analyze trends in area, production, and productivity of major crops over time periods from 1984-2013. Methodology included collecting secondary data on crops like rice, tapioca, coconut, pepper, ginger, turmeric, rubber, and areca nut. Compound growth rates, Hirschman-Herfindahl index, and decomposition analysis were used to study changes in area, production, diversification. Results showed crops like coconut, pepper, and rubber had higher growth rates initially, while rice, tapioca, ginger, and turmeric had negative growth rates over the periods analyzed.
Presented at the Pulses for Sustainable Agriculture and Human Health” on 31 May-1 June 2016 at NASC, New Delhi, India. The conference was jointly organised by the International Food Policy Research Institute (IFPRI), National Academy of Agricultural Sciences (NAAS), TCi of Cornell University (TCi-CU) and Agriculture Today.
The document analyzes trends in area, production and productivity of banana in World, India and Tamil Nadu. It estimates cost and return of Grand Naine banana cultivation using a Cobb-Douglas production function and stochastic frontier analysis. The mean technical efficiency of Grand Naine banana cultivation is 84.96%. Major constraints faced by farmers are Sigotoka leaf spot disease and lack of labor. The study recommends subsidizing planting material costs and adopting crop rotation to increase profits from Grand Naine banana cultivation.
The Integration of Livestock Production for Employment and Income GenerationRHIMRJ Journal
This document summarizes a research paper on the integration of livestock production for employment and income generation in India. It discusses how livestock production, especially the dairy sector, plays a significant role in rural livelihoods and the Indian economy. Some key points:
- Livestock provides supplementary income and employment for small/marginal landholding households.
- Milk production in India has grown significantly from 17 million tons in 1950 to 133.79 million tons in 2012-13, making India the largest milk producer globally.
- Cooperative dairies have played a large role in this growth, establishing a system for milk procurement and marketing that benefits small farmers.
- The total value of India's livestock sector output was
Factors affecting profit efficiency among smallholder beef producers in BotswanaILRI
- The study examines profit efficiency among smallholder beef producers in Botswana using farm-level survey data from three districts.
- Stochastic frontier analysis is used to estimate profit frontiers and measure technical inefficiency, finding average efficiency levels of 0.58, 0.56, 0.62 and 0.68 for the whole sample and different herd size groups.
- Key determinants of inefficiency include education level, distance to market, herd size, access to information, and income from crop production, indicating opportunities to improve profitability through policy and practice changes.
Determinants of profit efficiency among smallholder beef producers in BotswanaILRI
Presented by Sirak Bahta and Derek Baker at the International Food and Agribusiness Management Association (IFAMA) annual meeting, Cape Town, South Africa, 16-17 June 2014.
Input Structure Effect of Total Factor Productivity Growth of Animal HusbandryDr. Amarjeet Singh
This paper uses the input-output panel data of China's animal husbandry industry from 1997 to 2017, based on the total factor decomposition framework of total factor productivity (TFP), and uses the Hicks-Moorsteen index completely decompose the growth of animal husbandry TFP. By measuring the effect of mixed efficiency on the development of TFP in animal husbandry and then evaluating the input structure effect of TFP growth in animal husbandry. The results show that the impact of input structure on the TFP growth of animal husbandry has also changed from negative to positive. From 1997 to 2007, the input structure of the Huanghuaihai region alone contributed to the growth of TFP in animal husbandry, and the rest of the region was the opposite. From 2008 to 2017, the input structure of the Mengxin Plateau region hindered the growth of TFP in animal husbandry, while the rest of the region was the opposite.
Integrated Farming System-A Holistic Approach for Food and Livelihood Securitynaveen kumar
The document discusses integrated farming systems (IFS) as a holistic approach for food and livelihood security. Key points:
- IFS aim to maximize productivity and income through complementary enterprises like crops, livestock, fisheries.
- Research shows IFS can increase incomes 2-3 times over traditional systems through higher yields and employment.
- Models for marginal rainfed farms combining crops, 2 bullocks, 1 cow, 10 goats and poultry achieved highest returns.
- IFS appropriate for different agro-ecosystems like rainfed, irrigated, hilly regions through suitable enterprise combinations.
This document discusses the adoption of soil health cards for sustainable agriculture in Gujarat, India. It provides the following key points:
1) Gujarat has been a leading state in implementing soil health card programs and other fertilizer management initiatives to encourage balanced fertilizer use.
2) Gujarat's soil health card program was initiated in 2003-04 and now provides recommendations on major and micro nutrients for major crops in each village.
3) As of 2013-14, there were 134 soil testing labs in Gujarat with a total annual capacity of over 1 million samples. The number of soil health cards distributed to farmers in Gujarat has grown from 0.2 million in 2004-05
Changing Patterns of General Crops in Nellore District, Andhra Pradeshijtsrd
Agricultural Geography is mainly concerned with the spatio temporal analysis of agricultural activities. The most striking characteristic feature of the present day agriculture is its great diversity of practice, products and organisation Grigg, D. 1969 . The bewildering diversity of agricultural practices and pattern of crop farming is due to diversity in topographical, agro climatic, cultural, socio economic and technological conditions Ramanaiah, Y.V., 1984 . A systematic study of crop land relationship not only helps agricultural regionalisation but also provides a scientific basis for land resource allocation to various agricultural crops and planning for maximum productivity Singh and Singh, 1970 . The spatial patterns and dynamics of cropland utilisation in agriculture have received due importance in the field of agricultural geography. The study of cropping pattern or crop land relationship helps to develop typology and taxonomy of agriculture. Hence in the present study an endeavour is made to study the changing spatial patterns of general crops in Nellore District, Andhra Pradesh for two trienniums i.e., 1987 90 and 2012 15 taking Mandal as unit. N. Bala Ankanna | A. Krishna Kumari "Changing Patterns of General Crops in Nellore District, Andhra Pradesh" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28055.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/geography/28055/changing-patterns-of-general-crops-in-nellore-district-andhra-pradesh/n-bala-ankanna
The study examined the efficiency of sorghum production in Maharashtra State, India. The technical, allocative and economic efficiencies of farmers producing sorghum were analysed from 100 randomly selected sorghum farmers. The maximum likelihood estimates of the stochastic frontier production function was used for the analysis, and the result revealed that farm size, labour, fertilizer and chemicals were significantly and positively related to sorghum output. The technical efficiency (TE) scores ranged from 0.28-0.94 with a mean TE of 0.67, implying that there is a scope for increasing technical efficiency in sorghum production by 33% in the short-run. The allocative efficiency index ranged from 0.11-0.90 with a mean of 0.54, implying that the average farm has the scope of increasing allocative efficiency by 46% in the short-run. The economic efficiency index ranged from 0.09-0.75 with a mean of 0.37, indicating wide efficiency differential between average farmers and the economically efficient farmers. The result of the stochastic frontier production function analysis showed that the variance parameters that is the sigma squared (ɗ2) and the gamma (ϒ) were statistically significant at 1% level of sorghum production
Dr Dev Kambhampati | Agricultural Statistics, India (2013)Dr Dev Kambhampati
This document is a preface and contents page for the "Pocket book on Agricultural Statistics 2013" published by the Directorate of Economics and Statistics, Ministry of Agriculture, Government of India.
It provides an overview of the key economic and social indicators included in the pocket book, such as GDP growth rates, agricultural production indexes, inflation rates, trade data, and more. It also outlines the 14 statistical tables that will be included, covering topics like population trends, agricultural land use, crop production, inputs and costs, prices and procurement, imports/exports, and international comparisons.
The preface explains that the pocket book is intended as a quick reference guide for policymakers and ministry officials to access frequently used agricultural data
Agricultural production in India is diversifying from production of cereals towards fruits and vegetables and livestock products such as milk and meat. Between Triennium Ending (TE) 1980-81 and TE 2009-10 the share of value of cereal output in total value of output in agriculture is declining while the shares of high value commodities like fruits, vegetables, milk and meat, is increasing.
IRJET- Trend Analysis of Cattle Deaths Due to FloodsIRJET Journal
This document analyzes cattle deaths due to floods in India from 1953 to 2015. It finds that cattle deaths have had an increasing trend overall but show a decreasing trend after 1980. This shift in trend is likely due to government policies like Operation Flood in the 1980s that increased veterinary support and guidelines for transporting cattle during disasters. While floods have impacted large areas and caused over 200,000 cattle deaths in some years, deaths have accounted for only 0.0387% of the total cattle population on average. The cattle population in India has grown overall despite periodic disasters and diseases.
Trends in Production and Export of Lentils in EthiopiaPremier Publishers
Lentils are among the major grain crops in Ethiopia that constituted the major food crops for the majority of the country’s population. It also served as a source of income at household level and a contributor for the country’s foreign currency earnings. The study was conducted to analyze the trend of production and export of Lentils in Ethiopia. Secondary data on production and export of the crop were used and analyzed using descriptive statistics. The study identified that, the total land area and the total volume of lentil production has increased at a compound growth rate of 4% and 9% respectively, while the productivity of the crop has shown a 5%compounded growth. Ethiopia exports on average 2,339,693 kg of lentils and incurred birr 18,684,845. Pakistan and United Arab Emirates are the highest recipients for Ethiopian lentils with a share of 20 % and 16 % respectively. Italy was the destination country from which highest value/kg (birr 25/kg) from Lentils export is received. Therefore, it is important to give more attention to the crop in research system so as to have more improved varieties and agronomic recommendations. On the other hand, we need to export the crop and its product to those countries which have high Value to volume ratio (VVR).
Technical Efficiency Differentials and Resource - Productivity Analysis amon...researchagriculture
- The study analyzed the technical efficiency and resource productivity of 96 smallholder soybean farmers in Benue State, Nigeria.
- Results from a transcendental logarithmic stochastic frontier model showed technical efficiencies varied widely from 0.254 to 0.999 with a mean of 0.718, indicating production was in stage III of irrational production.
- Land and fertilizer use was effective as confirmed by estimated coefficients between zero and one, depicting stage II production. Productivity could be enhanced by expanding farm size while maintaining labor to move from stage III to II.
Post-harvest losses in Ethiopia: measures and associates essp2
This document summarizes preliminary results from a study on post-harvest losses in Ethiopia conducted by researchers from FAO-MAFAP and IFPRI-ESSP. Some key findings include:
- Around 40-50% of households storing cereal crops reported losses during storage, with losses averaging around 5-7% of stored quantities.
- Factors associated with higher losses included higher household wealth, proximity to urban areas, and higher humidity during storage. Higher seasonal price gaps and temperatures were linked to lower losses.
- Most households stored crops for 3-6 months, and losses generally increased the longer crops were stored. The majority of households reported minor losses of 1-10% of stored quantities.
economy of production and labor requirement in major fieldIJEAB
Economic analysis is found as the major aspect of measurement of efficiency of a farm. In most cases, this part is lagging in Nepalese farmers. With the objective to find benefit cost ratio of growing different crops, identify profitable crops and estimate labor requirement for cultivation, this case study was performed. The scope of this case study isit helps farmers in selecting the crop comparing the profit and labor available. This study was done as a case study in Kavre district, Nepal. From this research, potato (B: C=2.44) and onion (B: C=1.95) were found the most profitable crops and wheat and maize the least. Labor requirement for onion was highest 643 men/ha and wheat was the lowest i.e. 142 men/ha.
This document discusses trends in high-value agriculture in India. It notes a shift from grains to higher-value commodities like fruits, vegetables, dairy and meat due to rising incomes, urbanization, and trade policies. Exports of high-value products like fruits and vegetables have grown significantly. Contract farming has allowed small farmers to access high-value domestic and export markets. Overall high-value agriculture provides opportunities for commercialization and income growth for smallholders through arrangements like contract farming. The document analyzes crop area and production data and makes recommendations to promote diversification and infrastructure to support high-value agriculture.
Efficiency Production Cost of Goat Farming in the Lowland and the Highland Ar...Agriculture Journal IJOEAR
— This research aims to determine the level of efficiency production cost of goat farming in the lowland and the highland areas in Mojo Sub-district of Kediri Regency. Location determination and 60 respondents based on purposive sampling method from the total of all farmers in Mojo Sub-district of Kediri Regency. Data collection was done by questionnaire technique, interview technique and documentation. To analyzed the data in this research used Data Envelopment Analysis (DEA) approach Measuring the efficiency production cost of goat farming used input variable that consist of the cost of shrinkage of cages, shrinkage tools, seeds, feeds, medicines and labor. Variable output was the revenue from the goats sale. The results showed that the efficiency of production cost of lowland goat farming was varies, farmers who achieve efficiency value equal to 1 was 9 farmers or 30% of the total respondents and 70% inefficient. Farmers in the highland who achieved the same level of efficiency as 1 was 15 farmers or 50% and the remaining 50% was inefficient. The use of input production costs in lowland and highland areas had a slack input value. Farmers in the lowland area could reduce the use of production costs in the form of 18% shrinkage of cages, 13% tool shrinkage, 6% seed, 2% feed, 6% medicine and 1.4% labor whereas breeders in the highland could reduce the use of costs production of 12% shrinkage of cages, 23% tool shrinkage, 11% seed, 10% feed, 12% medicine and 7% labor. Keywords— Data Envelopment Analysis, efficiency of production cost, goat farming, highland, lowland.
TEMPORAL DYNAMICS OF CROPPING PATTERN IN KERALAsreekanthskt
This document provides a summary of a research seminar presentation on crop diversification in Kerala, India. It discusses the objectives to analyze trends in area, production, and productivity of major crops over time periods from 1984-2013. Methodology included collecting secondary data on crops like rice, tapioca, coconut, pepper, ginger, turmeric, rubber, and areca nut. Compound growth rates, Hirschman-Herfindahl index, and decomposition analysis were used to study changes in area, production, diversification. Results showed crops like coconut, pepper, and rubber had higher growth rates initially, while rice, tapioca, ginger, and turmeric had negative growth rates over the periods analyzed.
Presented at the Pulses for Sustainable Agriculture and Human Health” on 31 May-1 June 2016 at NASC, New Delhi, India. The conference was jointly organised by the International Food Policy Research Institute (IFPRI), National Academy of Agricultural Sciences (NAAS), TCi of Cornell University (TCi-CU) and Agriculture Today.
The document analyzes trends in area, production and productivity of banana in World, India and Tamil Nadu. It estimates cost and return of Grand Naine banana cultivation using a Cobb-Douglas production function and stochastic frontier analysis. The mean technical efficiency of Grand Naine banana cultivation is 84.96%. Major constraints faced by farmers are Sigotoka leaf spot disease and lack of labor. The study recommends subsidizing planting material costs and adopting crop rotation to increase profits from Grand Naine banana cultivation.
The Integration of Livestock Production for Employment and Income GenerationRHIMRJ Journal
This document summarizes a research paper on the integration of livestock production for employment and income generation in India. It discusses how livestock production, especially the dairy sector, plays a significant role in rural livelihoods and the Indian economy. Some key points:
- Livestock provides supplementary income and employment for small/marginal landholding households.
- Milk production in India has grown significantly from 17 million tons in 1950 to 133.79 million tons in 2012-13, making India the largest milk producer globally.
- Cooperative dairies have played a large role in this growth, establishing a system for milk procurement and marketing that benefits small farmers.
- The total value of India's livestock sector output was
Factors affecting profit efficiency among smallholder beef producers in BotswanaILRI
- The study examines profit efficiency among smallholder beef producers in Botswana using farm-level survey data from three districts.
- Stochastic frontier analysis is used to estimate profit frontiers and measure technical inefficiency, finding average efficiency levels of 0.58, 0.56, 0.62 and 0.68 for the whole sample and different herd size groups.
- Key determinants of inefficiency include education level, distance to market, herd size, access to information, and income from crop production, indicating opportunities to improve profitability through policy and practice changes.
Determinants of profit efficiency among smallholder beef producers in BotswanaILRI
Presented by Sirak Bahta and Derek Baker at the International Food and Agribusiness Management Association (IFAMA) annual meeting, Cape Town, South Africa, 16-17 June 2014.
Input Structure Effect of Total Factor Productivity Growth of Animal HusbandryDr. Amarjeet Singh
This paper uses the input-output panel data of China's animal husbandry industry from 1997 to 2017, based on the total factor decomposition framework of total factor productivity (TFP), and uses the Hicks-Moorsteen index completely decompose the growth of animal husbandry TFP. By measuring the effect of mixed efficiency on the development of TFP in animal husbandry and then evaluating the input structure effect of TFP growth in animal husbandry. The results show that the impact of input structure on the TFP growth of animal husbandry has also changed from negative to positive. From 1997 to 2007, the input structure of the Huanghuaihai region alone contributed to the growth of TFP in animal husbandry, and the rest of the region was the opposite. From 2008 to 2017, the input structure of the Mengxin Plateau region hindered the growth of TFP in animal husbandry, while the rest of the region was the opposite.
Integrated Farming System-A Holistic Approach for Food and Livelihood Securitynaveen kumar
The document discusses integrated farming systems (IFS) as a holistic approach for food and livelihood security. Key points:
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- Research shows IFS can increase incomes 2-3 times over traditional systems through higher yields and employment.
- Models for marginal rainfed farms combining crops, 2 bullocks, 1 cow, 10 goats and poultry achieved highest returns.
- IFS appropriate for different agro-ecosystems like rainfed, irrigated, hilly regions through suitable enterprise combinations.
This document discusses the adoption of soil health cards for sustainable agriculture in Gujarat, India. It provides the following key points:
1) Gujarat has been a leading state in implementing soil health card programs and other fertilizer management initiatives to encourage balanced fertilizer use.
2) Gujarat's soil health card program was initiated in 2003-04 and now provides recommendations on major and micro nutrients for major crops in each village.
3) As of 2013-14, there were 134 soil testing labs in Gujarat with a total annual capacity of over 1 million samples. The number of soil health cards distributed to farmers in Gujarat has grown from 0.2 million in 2004-05
This document provides information on agriculture and land use in Maharashtra through various statistics and figures. Some key points:
- Net sown area makes up 56% of total land area in Maharashtra. Forests account for 17% and barren/uncultivable land accounts for 6%.
- Major crops include cereals, pulses, oilseeds, cotton, and sugarcane. Production of crops fluctuated over 2006-2007 to 2008-2009 period due to rainfall.
- Strategies to improve agriculture in the state focus on bridging yield gaps, increasing irrigation, improving market infrastructure, empowering farmers, and promoting diversification.
The document discusses several issues facing Indian agriculture including declining investment, privatization of irrigation, land fragmentation, misdirected subsidies, and inadequate infrastructure. Investment in agriculture has declined significantly as a percentage of GDP and public spending since the 1980s. Much of the increase in irrigation has come from private tube wells rather than government projects. Landholdings have become smaller and more fragmented over time. Subsidies have been disproportionately directed towards fertilizers, power, and food rather than irrigation and infrastructure development. These challenges have contributed to falling agricultural growth rates and productivity in India.
CROP RESIDUE MANAGEMENT IN Major cropping system.pptxUAS, Dharwad
Crop residue management practices can provide benefits over burning residues. For major cropping systems like rice-wheat, retaining crop residues as mulch and incorporating them into soil can increase soil organic matter, nutrients, and water retention compared to burning. Alternatives like using crop residues for compost or conservation agriculture can also improve yields. Research on rice-wheat systems in India found greater wheat yields and soil quality with zero-tillage and retaining rice straw as mulch compared to conventional tillage with residue removal.
The document provides projections for demand and supply of agricultural commodities in India from 2020-21 to 2032-33. It estimates demand using an Almost Ideal Demand System model and supply using a simultaneous equation model. Key findings include:
- Food grain demand is projected to reach 333 million tonnes by 2032-33, while supply is estimated at 371-375 million tonnes.
- Milk demand could reach 328 million tonnes but supply is projected to be 329 million tonnes.
- Horticultural commodity demand may be 641 million tonnes versus a supply estimate of 659 million tonnes.
- Food grain exports are estimated to remain around 13 million tonnes.
It gives an outlook to the position of Indian farmers and indian agriculture . It provides an idea about the measures that can be adopted in order to double thefarmers' income by 2022.
1) The document discusses area, production and yield trends for various crops in India from 2015-16 to 2021-22. For oilseeds and pulses, production and yields have increased significantly over this period through various government initiatives.
2) It provides rainfall data for the rabi and summer seasons of 2021-22 which benefited rabi crops. The document outlines crop production targets for 2022-23 and discusses strategies to achieve self-sufficiency in pulses and reduce dependence on edible oil imports.
3) Reducing yield gaps through productivity enhancement is emphasized as a key approach, along with area expansion, for boosting oilseed and pulse production to close demand-supply gaps.
The document discusses rice production in Fiji. It notes that Fiji imports about 33,720 tons of rice per year, costing $19.55 million on average. Between 2005-2007, the government aimed to increase domestic rice production by 7,500 tons to reduce imports. However, rice's contribution to Fiji's GDP has declined from 25% to 12% and self-sufficiency has declined from 65% to 20%. The document evaluates the performance of SRI, ICM and local recommended practices at a research station, finding higher yield with SRI.
1. The document discusses a national level workshop on millets scheduled by the Department of Farmer Welfare & Agriculture Development in Bhopal, Madhya Pradesh.
2. It provides information on the geographical landscape of Madhya Pradesh including total area, net sown area, forest area, and average annual rainfall.
3. It compares the nutritional value of various millets like finger millet, Italian millet, and kodo millet to rice and wheat. It finds millets to be higher in protein, minerals and fiber.
4. It discusses the declining area and production of millets in comparison to rice and wheat from 1956 to 2006 in India due to various factors
Conservation agriculture, livestock and livelihood strategies in the Indo-Ga...ILRI
1) The document discusses crop-livestock interactions and conservation agriculture practices in the Indo-Gangetic Plains of South Asia, focusing on synergies and tradeoffs.
2) It analyzes data from village surveys conducted in 2005 on household assets, technology use, and crop residue management practices across a gradient of agricultural intensification.
3) The findings show that zero-tillage is more common where farms are larger and mechanized, while rice straw is less commonly used for livestock feed when harvesting is more mechanized. Crop residue management practices are largely incompatible with conservation agriculture.
Technical efficiency in agriculture in ghana analyses of determining factorsAlexander Decker
This document summarizes a study that estimated technical efficiency in Ghana's agricultural sector from 1976-2007 and investigated factors that influence those estimates of technical efficiency. The study found decreasing returns to scale in Ghana's agriculture, with land being negatively inelastic indicating overuse. Fertilizer and machinery like tractors had a positive relationship with output. The estimated level of inefficiency was 21% with decreasing returns to scale. None of the hypothesized variables for explaining technical efficiency, like education levels or farm size, were found to be statistically significant determinants. This suggests those variables may not appropriately explain technical efficiency in Ghana and other potential explanatory variables should be explored.
11.[1 10]technical efficiency in agriculture in ghana analyses of determining...Alexander Decker
This document summarizes a study that estimated technical efficiency in Ghana's agricultural sector from 1976-2007 and investigated factors that influence the estimates. The key findings were:
1) Ghana's agriculture exhibited decreasing returns to scale and overuse of land relative to other inputs like fertilizer and machinery.
2) Technical efficiency in Ghana's agriculture was estimated to be 79%, meaning there is a 21% gap between actual and potential output.
3) None of the hypothesized variables tested (e.g. education, infrastructure) were found to statistically explain the technical efficiency estimates.
11.[1 10]technical efficiency in agriculture in ghana analyses of determining...Alexander Decker
This document summarizes a study that estimated technical efficiency in Ghana's agricultural sector from 1976-2007 and investigated factors that influence the estimates. The key findings were:
1) Ghana's agriculture exhibited decreasing returns to scale and overuse of land relative to other inputs like fertilizer and machinery.
2) Technical efficiency in Ghana's agriculture was estimated to be 79%, meaning there is a 21% gap between actual and potential output.
3) None of the hypothesized variables tested (e.g. education, infrastructure) were found to statistically explain the technical efficiency estimates.
11.technical efficiency in agriculture in ghana analyses of determining factorsAlexander Decker
This document summarizes a study that estimated technical efficiency in Ghana's agricultural sector from 1976-2007 and investigated factors that influence the estimates. The key findings were:
1) Ghana's agriculture exhibited decreasing returns to scale and overuse of land relative to other inputs like fertilizer and machinery.
2) Technical efficiency in Ghana's agriculture was estimated to be 79%, meaning there is a 21% gap between actual and potential output.
3) None of the hypothesized variables tested (e.g. education, infrastructure) were found to statistically explain the technical efficiency estimates.
Jobs and Ethiopia’s agri-food system: Reviewing the evidenceessp2
This document reviews evidence on jobs and Ethiopia's agri-food system. It finds that agriculture remains extremely important for employment in Ethiopia, accounting for over 75% of jobs, though this share is declining slowly. Labor productivity in agriculture is increasing over time but remains low, with larger, more commercial farms showing higher productivity. Hired agricultural wage labor constitutes a small share of total agricultural labor. Wages are increasing in rural areas but remain low internationally. Food processing, trade, and transportation make up sizable shares of non-farm employment in Ethiopia's agri-food system.
Xinshen Diao, Mia Ellis, Karl Pauw, Gracie Rosenbach, Serge Mugabo, Karl Pauw, David Spielman, and James Thurlow
International Food Policy Research Institute
Opportunities from multi-dimensional crop improvement and the supporting role...ILRI
This document discusses opportunities for improving crop residues as animal feed sources through multi-dimensional crop improvement supported by Near Infrared Spectroscopy (NIRS) networks. It notes that crop residues make up the majority of livestock feed in places like India. Small differences in crop residue quality can significantly impact livestock productivity. Existing cultivar variations and targeted genetic enhancement through conventional breeding or molecular tools can exploit differences and improve crop residue quality. NIRS hubs could help support high-throughput phenotyping needed for this multi-dimensional crop improvement.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
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1. Department of Humanities and Social sciences
Indian Institute of Technology Guwahati,
Guwahati-39
Baban Bayan
Roll No. 10224108
Under the Supervision of
Dr. Mrinal K Dutta
2. Introduction
Objectives
Data sources and Methodology
Findings
Conclusions & Policy Suggestions
Bibliography
3. Cold storage (CS) is the most important
infrastructure in the post harvest management of
agricultural output.
Post harvest losses due to inefficient handling and
poor storage structure account for an estimated
10% of food grains and production and 25% of
fruits and vegetables (Reshma, 2010).
CS facility coupled with adequate market linkage
helps in even distribution of marketable surplus, an
win-win outcome.
4. Growing urbanization and rising incomes are
responsible for transforming agriculture (Rao
et al. 2007).
Aswani (2005) observes that horticulture has
emerged in the last decade as the focal
commercial sector among all agricultural
activities in the country, while we have been
successful in producing, we have not done so
well in protecting what is grown.
Access to CS facility increases production of
both food crops and non-food crops.
5. Gill and Gill (1982) and Fugli (1999) remarks
that it is advisable for the farmers to avail
themselves of CS facilities and earn more
profits. There may be considerable scope for
improving the seasonal supply and price
stability in many developing countries
In Assam, vegetable crops are grown by
almost all the farm households in their kitchen
garden.
TMIDH was implemented in the state since
2001-02.
6. As the horticulture sector has gained
momentum during 2001-02 to 2010-11 and
massive CS capacity has also been created
during the same period, research priority has
been accorded to study linkage between the
compositional change in Assam’s agriculture
and availability of CS facility.
7. The specific objectives of the study are as follows
To assess the growth of CS capacity in Assam
To analyze the comparative changes of area,
production and productivity of major horticultural
crops and food crops in the state during the last
decade.
To examine the changes in the production portfolio
and volume of agricultural production
commensurate with increase in CS capacity in
Assam
To provide suggestions for development of
agriculture sector in the state.
8. Study makes use of both primary and secondary
data: a) Source of secondary data and b) Source of
primary data.
Primary data collected with the help of
questionnaire method for a sample Size of 60
farmer households.
Multistage sampling technique has been followed
in selecting the sample farmer households
For analyzing the data tabular analysis has been
followed using percentages and mean-variance
analysis wherever necessary
9. Importance of CS: Temperature is the single most factor in
maintaining quality after harvest.
Cold Storage Scenario in India: Total no. of CS is 5381 with a total
capacity of 24.45 million MT (as on 31.12.2009). UP and West
Bengal account for more than 60% of the CS capacity. Over 90% of
the CS capacity are in the private sector.
Sl. No. Commodity Capacity (MT) % of Total No. of CS
1 Potatoes 184,26,316 75.36 2862
2 Multi-Purpose 56,44,659 23.09 1584
3 Fruits and Vegetables 96,427 0.39 160
4 Meat and Fish 1,88,496 0.77 497
5 Milk and Milk Products 68,230 0.28 191
6 Other 26,524 0.11 87
Total 24450652 100 5381
10. CS scenario in Assam: till 2010-11, the total no.
of CS is 26 with total capacity of 1,09,540.9 MT.
Districts that own CS are
Cachar, Kamrup, Sonitpur, Tinsukia, Karimgan
j, Hailakandi, Golaghat, Jorhat, Nagaon, Goalp
ara, Barpeta, Chirang and Kokrajhar.
Only 4.11% of the total capacity are created
under govt. sector.
11. Year wise growth of CS capacity in Assam
17000
26400
0
5100
10000
16191.9
11237
3312
20300
2001-02 2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10
12. Growth in area under total vegetables is 22.68%
(CAGR=2.30%) against the growth in area
under food grain crops 1.21% (CAGR=0.13%).
The CAGR in production of total food grain
crop is 2.82% during 2001-02 to 2010-11 while
during the same period CAGR in production of
all Kharif and Rabi vegetables is 6.96% and
4.41% respectively.
13. -10
-8
-6
-4
-2
0
2
4
6
8
2001-02 to
2002-03
2002-03 to
2003-04
2003-04 to
2004-05
2004-05 to
2005-06
2005-06 to
2006-07
2006-07 to
2007-08
2007-08 to
2008-09
2008-09 to
2009-10
2009-10 to
2010-11
CAGR
Total Foodgrains Total Vegetables
Fig: Compound Annual Growth Rate of Area under total Food Grain and Total
Vegetables during 2001-02 to 2010-11
14. Name of
Districts
Name of
Villages
Average
family
size
% of Male
Populatn
Literacy of
HH head
Educ.
Year/HH
head
Work
force (%)
Kamrup Singimari 5.2 61.5 80 7.8 44.2
Roumari 5.3 65.4 90 10.7 32.76
Dadara 5.8 50 100 10.7 32.76
Dolibari 4.9 55.1 60 6.4 38.78
Kamrup
Total
5.4 56.5 82.5 8.05 38.89
Barpeta Zamadarbori 7.2 62.5 40 2.2 45.83
Sengelia 6.1 49.2 60 3.3 24.19
Barpeta
Total
6.7 56.4 50 2.75 36.09
16. Size class
Singima
ri
Roumari Dolibari Dadara
Kamrup
total
Zamadar
bori
Sengalia
Barpeta
total
Marginal
(below 1.0)
3
(12.6)
2
(9.9)
2
(6.2)
7
(50.7)
14
(16.1)
2
(6.6)
4
(20.5)
6
(12.0)
Small (1.0-
2.0)
5
(45.9)
6
(57.4)
6
(43.8)
2
(22.4)
19
(44.3)
4
(30.1)
5
(49.1)
9
(37.5)
Semi
medium
(2.0-4.0)
1
(14.4)
2
(32.7)
1
(19.2)
1
(26.9)
5
(22.5)
4
(63.2)
1
(30.4)
5
(50.6)
Medium
(4.0-10.0)
1
(27.0)
0
(0)
1
(30.8))
0
(0)
2
(17.1)
0
(0)
0
(0)
0
(0)
Large (10.0
& above)
0
(0)
0
(0)
0
(0)
0
(0)
0
(0)
0
(0)
0
(0)
0
(0)
Total
10
(100)
10
(100)
10
(100)
10
(100)
40
(100)
10
(100)
10
(100)
20
(100)
Table: Village wise Distribution of Sample Households
by Different Size of Operational Holdings.
*Figures in brackets indicate percentages of holdings concentrated to various size classes
17. Cropping pattern at sample farms has been
studied in two ways, by examining the
frequency distribution of farms growing
various crops and by examining percent area
allocated to paddy and other important
horticultural crops.
Availability of CS facility (or absence of it) does
not seem to have any impact on the cropping
pattern of the sample farmers.
Main determinant in inter-village differences
in crop composition is micro variation in soil
type and largely location factor.
22. Kamrup
Name of Crop Average Market price
during harvesting
season
Average Market Price
during Slack Season
Gap in %
Paddy 696.43 1008.93 30.97
Mustard 2118.52 2974.07 28.77
Potato 681.58 1303.95 47.73
Tomato 662.5 2500 73.5
Brinjal 690.32 1677.42 58.87
Pumpkin 448.21 1066.07 57.96
Barpeta
Paddy 694.44 947.22 26.69
Brinjal 307.14 1771.43 82.66
Tomato 103.33 1893.33 94.54
Cabbage 111.76 1788.24 93.75
Cauliflower 250 1800 86.11
Jute 1316 1833.33 28.18
Table 4.10 Seasonal Average Price variation of some of the Important
Marketed Crops in Sample Farmer Households (Rs. per Quintal)
23. Higher transportation costs for farmers in Barpeta
makes farmers incur losses and also leads to
wastages of vegetables.
Village Push Cart
(Hired)
Push Cart
(Own)
Bicycle Hanging
Baskets
Auto
Van/Truck
Singimari 0 40 50 10 0
Roumari 0 40 40 10 10
Dadara 0 30 30 40 0
Dolibari 0 50 20 10 20
Zamadarbori 100 0 0 0 0
Sengelia 100 0 0 0 0
24. No visible impact of the CS
on farming practices of the
sample HHs in Kamrup
No access of CS resulted in
leasing out of the same to
private party
25. Reasons for not accessing the Cold
Store:
Too limited marketable surplus to access a
chamber of the CS
Immediate need of revenue after harvest and
problem of ‘distress sale’
Lack of information about probable gain after
using the CS
Easy marketing even though price is less
Lack of unity among farmers to jointly access
the CS
26. The hypothesis that “access to CS facility
leads to changes in composition of
agricultural production by shifting to high
value horticulture crops and increases
volume of production has been rejected.
Transportation and market access is more
crucial factor than the accessibility of cold
storage facility in a state like Assam
27. Formation of grower’s cooperative society.
Exploring more vegetable growing zone in
Assam and induce farmers to cultivate
providing necessary assistance.
Improvement of road communication and
transport system.
The selection of location to establish CS has to
be based on market linkage scenario and extent
of marketable surplus.
Emphasis should be more on ‘cold chain’
concept in the context of Assam instead of CS.
28. Aswani, p. (2005), Commodity Portfolio Management of Cold
Storage units in Hyderabad (AP). An unpublished Ph. D
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