scholarly journals Farm machinery use and the agricultural machinery industries in India: Status, evolution, implications, and lessons learned

2020 ◽  
Author(s):  
Madhusudan Bhattarai ◽  
Gajendra Singh ◽  
Hiroyuki Takeshima ◽  
Ravindra S. Shekhawat
2011 ◽  
Vol 66-68 ◽  
pp. 758-763
Author(s):  
Fan Zhang ◽  
Gui Fa Teng ◽  
Jian Bin Ma ◽  
Jie Yao

According to problems existed in the current farm machinery scheduling process, a new farm machinery scheduling scheme is adopted in this dissertation. The collaborative scheduling model of farm machinery is established and multitask collaborative scheduling algorithm is designed through analyzing the differences between Vehicle Scheduling Problem and agricultural machinery scheduling in the dissertation. Earliest Start Time First and minimal resource allocated capacity first strategies are used in the farm machinery scheduling. The algorithm is useful for the case of machinery owner with sufficient farm machinery. The experiment proves that the collaborative scheduling algorithm is more effective than the serial scheduling algorithm.


2020 ◽  
Vol 11 (2) ◽  
pp. 160-186
Author(s):  
Anupam Sarkar

Despite the signs of distress and fatigue in Indian agriculture, the use of machines in crop operations has increased manifold in recent times. Proponents of mechanization argue that mechanization saves time and cost, and improves agricultural productivity. The Government of India has also encouraged mechanization through subsiding farm machinery and establishing custom hiring centres. Earlier studies have found significant regional variation in the spread of agricultural mechanization. Cost of cultivation data collected by Commission for Agricultural Costs and Prices (CACP) reveal that although the share of machine labour in the cost of cultivation per hectare has increased, there exist significant differences across crops in the use of mechanical input. Empirical studies in different regions have found a significant presence of the rental market for services of agricultural machinery. However, in recent years there have been very few studies on the patterns of mechanization based on household-level data on ownership and investment in agricultural machinery and implements. Agro-ecological characteristics of a region are said to have a significant impact on the level of mechanization. Ownership of machinery is also significantly influenced by the factors such as size of landholding, access to irrigation and access to institutional credit. The pattern of investment and ownership of machinery has important implications on the profitability of farming. This article uses unit-level data from the All-India Debt and Investment Survey (NSS 70th round 2013) to study the pattern of agricultural mechanization in India based on the ownership of agricultural machinery and implements. Using ownership and expenditure data it studies the questions of recent patterns in agricultural mechanization across agro-ecological regions and land classes.


2002 ◽  
Vol 92 (3) ◽  
pp. 321-331 ◽  
Author(s):  
Chris D. Stansbury ◽  
Simon J. McKirdy ◽  
Art J. Diggle ◽  
Ian T. Riley

Modeling techniques were developed to quantify the probability of Tilletia indica entering and establishing in Western Australia (WA), and to simulate spread, containment, and the economic impact of the pathogen. Entry of T. indica is most likely to occur through imports of bulk grain or fertilizer (0.023 ± 0.017 entries per year and approximately 0.009 ± 0.009 establishments per year). Entry may also occur through straw goods, new or second-hand agricultural machinery, and on personal effects of travelers who have visited regions with infected plants. The combined probability of entry and establishment of T. indica, for all pathways of entry, is about one entry every 25 years and one establishment every 67 years. Alternatively, sensitivity analysis does show that increases in quarantine funding can reduce the probability of entry to about one entry every 50 years and less than one establishment every 100 years. T. indica is spread efficiently through contaminated farm machinery, seed and soil, rain, air currents, and animals. Depending on the rate of spread of the pathogen and the amount of resources allocated for detection, the time until first detection could range from 4 to 11 years and the economic impact could range from 8 to 24% of the total value of wheat production in WA.


2020 ◽  
Vol 12 (23) ◽  
pp. 9806
Author(s):  
Muhammad Waqar Akram ◽  
Nida Akram ◽  
Hongshu Wang ◽  
Shahla Andleeb ◽  
Khalil Ur Rehman ◽  
...  

Urbanization and low productivity are real threats to the sustainability of organic farming. The adoption of farm machinery plays a vital role in overcoming these threats to ensure a sustainable and more profitable organic farming model. Farm machinery can also increase farmland yield and reduce the need for labor, although the requirement of significant capital investment often prevents small farmers from buying machinery. There is an increased need to comprehend all relevant elements associated with farming machinery procurement and service delivery. In this article, we provide insight into the impact of different variables of farmers on the adoption of agricultural equipment. A total of 301 organic farmers were surveyed in three districts of Punjab, Pakistan. It was found that the most common machinery concerned herein are tube-well/pumps, tractors, tillage machinery, and thrashers/harvesters. Results from a multinomial probit estimation showed that farm machinery ownership is positively correlated with capital assets, civil infrastructure, alternative sources of power, and credit facility. The findings indicated that policymakers and stakeholders should not concentrate merely on short term planning, such as improving agricultural machinery’s adoption rate. Still, they should also strive to upgrade physical infrastructure and facilities and provide credit services to create an enabling environment that can empower the citizen in adopting large scale use of agricultural machinery for long term sustainability of organic farming.


2017 ◽  
Vol 17(32) (1) ◽  
pp. 161-172
Author(s):  
Monika Roman

The aim of the article was to determine the changes in foreign trade of farm machinery in Poland in 2004-2015. The article presents the value of exports and imports of farm machinery in total, according to geographical area, as well as for selected types of agricultural machinery. The article uses secondary data from the Ministry of Finance, gathered as part of the Integrated Customs Tariff Information System. In the analyzed period, Poland was characterized by a negative balance of foreign trade. The value of imports of farm machinery increased more than threefold, while the value of exports nearly quadrupled. In 2015, Poland exported most of its farm machinery to the EU-28 (65% of export value), especially to Germany, France and Belgium. Within the EU-28, Poland is also the most imported (87% of import value), and its main trade partners were Germany, Italy and France.


Author(s):  
Guillermo P. Moreda

In modern agriculture, tractors have been fitted with accessories and technologies to help the tractor guidance. In this topic, these technologies will be explained describing different possibilities for the adoption of farm machinery guidance aids. Differences between systems helping the guidance and autosteering systems will be defined, along with current state of legislation concerning unmanned vehicles. Levels of precision in the track of the machinery will be explained, related with the GNSS technology onboard. Consequences of a better tractor guidance on farm tasks and economy will be outlined


Author(s):  
Jyrki Niemi

During the last 40 years, we have seen that despite a doubling of global population, agricultural production has expanded faster still, suggesting that global food security has increased. The volume of cereals production has more than doubled and world meat production has more than quadrupled, for example. The traded volumes of food products have been expanding even more rapidly than world’s output. Since 1960, each 1 percent increase in food output has been accompanied by 3 percent trade increase. Consequently, the economic value of food products traded worldwide has increased almost thirtyfold since the 1960s to equal over USD 1,020 billion by 2010. In other words, agriculture’s worldwide dependence on trade has been increasing in spite of the impediments to agrifood trade erected over the years by national governments. Trade expansion in agricultural commodities and food products has been accompanied by significant increases in agricultural input trade, such as fertilizers, pesticides, farm machinery, feedstuffs and genetic material. This paper attempts to increase our understanding of the structure and characteristics of international trade in agricultural inputs and to provide a historical perspective on the extent and direction of global trade in agricultural inputs. A general discus sion of the factors which influence the magnitude and changes of agricultural input trade flows is also included. Global trade in agricultural inputs occupies a special niche in the discussion and analysis of international agricultural trade. Trade in agricultural inputs arises partly because of the geographic disparity between agricultural input manufacturing and mining activities and the production of agricultural commodities. Just as the location of agricultural cropland and the production of agricultural commodities are unevenly distributed around the world, so is the production of agricultural inputs. The specific agricultural inputs examined here are fertilizers, pesticides, feedstuffs and agricultural machinery. The empirical analysis of the study will be conducted with a sample of annual data that cover international trade flows in agricultural inputs from 1961 to 2009. Volume and value statistics by country on imports and exports of fertilizers, pesticides, agricultural machinery and foodstuffs are obtained from FAOSTAT and COMTRADE, supplemented with individual country sources as required to fill gaps. The results show that expansion of the global food market has resulted in a reshuffling of resources over the entire globe, providing food and livelihood possibilities where they may have been previously limited, unavailable or untenable (e.g. food provision to cities, or the development of animal production through imports of feed inputs). This market expansion has been accompanied by significant increases in agricultural input trade, such as fertilizers, pesticides, farm machinery, and genetic material. The major exporters of fertilizers are those countries with energyrich resources or mineral reserves. In the case of pesticides and farm machinery, the major developed countries of North America and Western Europe tend to be major input exporters. This is due to their manufacturing infrastructure and heavy commitment to public and private research and development expenditure.


Author(s):  
Bagagiolo ◽  
Vigoroso ◽  
Caffaro ◽  
Cremasco ◽  
Cavallo

The comprehension of safety signs affixed to agricultural machinery is fundamental to warning users about the residual risks which cannot be eliminated with machinery design and the adoption of protections. This is particularly relevant for the migrant workforce, which may encounter some language barriers with written safety communication. The present study aimed to investigate the comprehension of safety signs affixed to agricultural machinery in a group of migrants from both European and non-European countries employed in Italian agriculture. Thirty-seven migrant farmworkers (12 Indians, 17 Pakistanis, and eight Romanians) were individually interviewed to test the comprehension of four safety signs referring to the main causes of fatal and non-fatal injuries caused by interactions with farm machinery. Romanians obtained the highest comprehension performance (68.8% of correct answers), followed by Indians (35.4%), with Pakistanis being last (32.4%). The nationality and the previous experience as a farmworker significantly affected the comprehension of safety signs. The results pointed out the importance of adequately training migrants on the meaning of safety signs. Beside this, the study suggests a redesign of the signs, considering some signs’ features to enhance pictorials’ cross-cultural comprehension.


2020 ◽  
Vol 10 (17) ◽  
pp. 6132
Author(s):  
Tomáš Řezník ◽  
Petr Kubíček ◽  
Lukáš Herman ◽  
Tomáš Pavelka ◽  
Šimon Leitgeb ◽  
...  

Detailed measurements of yield values are becoming a common practice in precision agriculture. Field harvesters generate point Big Data as they provide yield measurements together with dozens of complex attributes in a frequency of up to one second. Such a flood of data brings uncertainties caused by several factors: accuracy of the positioning system used, trajectory overlaps, raising the cutting bar due to obstacles or unevenness, and so on. This paper deals with 2D and 3D cartographic visualizations of terrain, measured yield, and its uncertainties. Four graphic variables were identified as credible for visualizations of uncertainties in point Big Data. Data from two plots at a fully operational farm were used for this purpose. ISO 19157 was examined for its applicability and a proof-of-concept for selected uncertainty expression was defined. Special attention was paid to spatial pattern interpretations.


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