Improving the Yield and Revenue of Indian Crop Production Using Data Engineering

2021 ◽  
pp. 197-208
Author(s):  
Jayashree Domala ◽  
Manmohan Dogra ◽  
Kevin Dsouza ◽  
Dwayne Fernandes ◽  
Anuradha Srinivasaraghavan
2020 ◽  
Vol 12 (20) ◽  
pp. 8723
Author(s):  
Justin Dijak ◽  
Laura McCann ◽  
Caroline Brock

Horse operations may produce high amounts of manure per acre/ha and be less aware of recommended manure management practices than livestock farmers, leading to negative environmental impacts. This study compared the manure management practices of two populations of horse owners in the USA state of Missouri, commercial horse operations and an Old-Order Amish community, using data from a 2019 mail survey with a 50% response rate. In commercial operations, manure was more likely to be piled rather than spread directly on fields, which was the Amish practice. The Amish were more likely to use manure for crop production, to indicate that was why they had not explored markets for manure, and to test soil for nutrients. Regression results for factors affecting previous sales/transfers of manure or compost showed that selling was more likely for commercial operations, female operators, and those who had composted manure. Compared to respondents who agreed that manure management had an impact on water quality, those who did not know or were neutral about that statement were more likely to have sold manure. While both groups can improve manure management and are underserved by traditional agricultural information channels, educational efforts should be tailored to their different circumstances.


2011 ◽  
Vol 40 (3) ◽  
pp. 471-487 ◽  
Author(s):  
Heather Klemick

This study examines the drivers of land use in a shifting cultivation system with forest fallow. Forest fallow provides on-farm soil quality benefits, local hydrological regulation, and global public goods. An optimal control model demonstrates that farmers have an incentive to fallow less than is socially optimal, though market failures limiting crop production can have a countervailing effect by encouraging fallow. An econometric model estimated using data from the Brazilian Amazon suggests that fallowing does not result from internalization of local fallow services but instead is associated with poor market access and labor and liquidity constraints.


Author(s):  
Israel Lorenzo-Felipe ◽  
Carlos A Blanco ◽  
Miguel Corona

Abstract Bees and some wasp species of the superfamily Apoidea pollinate most of the crops used for food and feed, producing different impacts on agricultural production. Despite the considerable importance of Apoidea, the relevance of this group’s impact on global crop production and human diets is controversial. To measure the pollination effect of these insects on crop production, factors such as the myriad of agricultural practices, different crop varieties, fluctuating pollinators’ densities, constantly changing environmental conditions, and demands for food items in a diverse diets must be considered. An ‘Apoidea impact factor’ (AIF), a value calculated taking into consideration the effect of this superfamily on enhancing crop production through pollination, the diversity of crops in a given area, the area planted by specific crops, and agricultural output, was calculated for 176 agricultural crops. Consistently with previous estimations, our results show that Apoidea have a direct impact on 66% of the 128 most important agricultural crops consumed in the world. However, the analysis of the impact of Apoidea on global production and human consumption revealed a different perspective: Apoidea pollination affects only 16% of the total tonnage output, 14% of the cultivated area, and 9% of the kilocalories consumed. Because 25 of the most cultivated crops in the world do not require, or are slightly affected by Apoidea pollination, and these plants grow in 84% of the world’s cropland, constituting 50% of the world’s diet, and 89% of the kilocalories consumed by peoples around of the world, the AIF at the world level is reduced to 11% of food consumed, and 6% of the kilocalories. The AIF, when applied to a small geographical scale, for example, the municipality or county level rather than country or state level, becomes more useful identifying areas where bees and wasps have greater impact in agriculture. In this report, we update the widely popular quote ‘One out of every three bites of food we eat is a result of pollinators like honey bees’ to a more accurate one: ‘nearly 5% of the food we eat, and about 10% of the calories we burn have a direct relationship with Apoidea pollination’. This new estimate does not diminish the need for pollinators for many of the world’s most nutritious foods, but merely suggests that these foods do not provide an extensive part of the human diet. The AIF can be used to identify specific areas where these pollinators have greater impact and direct conservation efforts directly into them. This approach can serve as a better estimate of the role of these pollinators in our food, using data-driven arguments.


2008 ◽  
Vol 35 (10) ◽  
pp. 925 ◽  
Author(s):  
Youhong Song ◽  
Colin Birch ◽  
Jim Hanan

Substantial progress in modelling crop architecture has been made under optimal watering conditions; however, crop production is often exposed to water stress. In this research, we develop methods for implementing the simulation of maize (Zea mays L.) canopy architectural development under water stress using data from a maize field trial in 2006–07. Data of leaf number, leaf and internode extension were collected using non-destructive and destructive sampling at 2–3 day intervals. Water stress reduced the extension rate of organs and, therefore, their final length, the reduction being greater as severity of water stress increased. The duration of extension of organs in most phytomers was not significantly affected by water stress. Also, the rate of extension during the linear phase responded linearly to fraction of extractable soil water. An existing 3-D architectural model ADEL-Maize was revised using relationships developed in this study to better incorporate effects of water stress on organ extension and production. Simulated canopy production under three water regimes was validated by comparing predicted final leaf and internode length, plant height and leaf area to independent observations. The analysis and simulation showed that maize organ extension and final length under water stress can be adequately represented by simple linear patterns that are easily integrated into models.


Water Policy ◽  
2018 ◽  
Vol 20 (4) ◽  
pp. 826-840 ◽  
Author(s):  
Waseem Raja ◽  
Raihana Habib Kanth ◽  
Purshotum Singh

Abstract The crop growth simulation driven by daily climatic data can be used to predict the yield under varied climatic conditions. The simulation model can be exploited to reduce production risk and to evaluate the effect of soil, water, field management and climate on crop production. In this study, the FAO AquaCrop model was calibrated and validated for maize under varied sowing dates during 2012 and 2013. The experiment was conducted at Shalimar Campus of Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir during kharif seasons of 2012 and 2013. Calibration was done using data of 28 April sowing of 2012 and validation was done by using data of 10 May and 25 May sowing of 2012, and 28 April, 10 May and 25 May sowing of 2013. The simulated grain yield and crop water use was acceptable as root mean square error (RMSE) between simulated and measured observations was low (≤0.05 t ha−1 and ≤16.72 mm) with high coefficient of efficiency (0.99 and 0.71), respectively. The model also performed satisfactorily for the canopy cover and in-season biomass under varied sowing dates having RMSE ≤9.97% and ≤1.78 t ha−1, respectively.


2018 ◽  
Vol 64 (No. 5) ◽  
pp. 221-226
Author(s):  
Lv Zhenzhen ◽  
Liu Xiumei ◽  
Hou Hongqian ◽  
Liu Yiren ◽  
Ji Jianhua ◽  
...  

Rational soil phosphorus (P) management is significant to crop production and environment protection. Little information is available on soil Olsen-P balance and critical values in double-crop rice in China. The main aim of the study was to relate soil Olsen-P to apparent P balance and to determine Olsen-P critical value for early and late rice using data from a 29-year study (1984~2012) at the Jiangxi province. The results showed that Olsen-P decreased by 0.12~0.26 mg/kg/year without P addition and increased by 0.56~2.52 mg/kg/year with P fertilization. Olsen-P decreased by 0.30 mg/kg for CK and NK under an average deficit of 100 kg P/ha, and increased by an average of 9.10 mg/kg in treatments with organic manures and were 4.55 times higher than chemical fertilizers with 100 kg/ha of P surplus. The critical values for early and late rice were 22.70 and 22.67 mg/kg, respectively. The average  Olsen-P content is 90.89 mg/kg after 29-year application of chemical fertilizer and manures. Therefore, decreasing the amount of total P input and increasing the compost portion should be recommended to improve food production and protect environment in red paddy soils in south China.  


Author(s):  
Nagham Rahman Mohammed Al - Maktoum

This study aims to estimate the economic efficiency of using economic resources to produce broad bean crop with their technical and allocation efficiency . It also aims to do a comparison between the optimum quantities and the actual quantities of used resources. Data were collected through a questionnaire of 20 crop growers in the Al-Qadisiyah province / Al -Badair county during 2017 planting season. This research Using data envelopment analysis in the assessment of economic efficiency and the separation of its components into technical and allocation efficiencies in achieving its objectives. Input oriented models are used under constant and variable Scale returns in the technical efficiency calculation. Variable Scale return is used in allocation efficiency and cost efficiency calculation. capacity efficiency average was 77%, and technical efficiency reached an average of about 81%. This indicates that the sample farmers can achieve the same level of production using 77% of the production resources with maintaining the current level of production. Cost efficiency averaged about 40%, which indicating that the sample bear additional costs of 40%. The research reached many results related to economic efficiency, including the waste of economic resources resulting in cost increases. Therefore, the research recommends to use of production inputs according to the scientifically recommended quantities and ways, especially the quantity of seeds and fertilizers, in line with the crop needs to reach optimum efficiency.


Data is useless without the skill to analyse it. Technology professional’s expertise in Data engineering are in high demand. The number of job postings related to Analytics has increased substantially. This paper provides a complete analysis on the H1B visa applicants. The analysis is based on the job positions, number of petitions filed by industry every year, demanding jobs with hike salary etc. The data set has been collected from The Office of Foreign Labour Certification (OFLC), the department responsible for issuing H1B. The Data visualization technique is used mainly to perform the analysis with respect to various parameters. This visualisation is done with the help of base map, a library in python for data science. The analysis report will provide a better enhancement in providing employability on skill based.


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