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Satyapriya,
- Natural Resource Conservation through Weather-Based Agro-Advisory
Abstract Views :214 |
PDF Views:78
Authors
Affiliations
1 Indian Grassland and Fodder Research Institute, Gwalior Road, Jhansi 284 003, IN
1 Indian Grassland and Fodder Research Institute, Gwalior Road, Jhansi 284 003, IN
Source
Current Science, Vol 111, No 2 (2016), Pagination: 256-258Abstract
Natural Resources (NR) are not only important in enhancing and sustaining economic growth, but are also key in reducing poverty through providing employment, livelihood and food security. However, these resources have been largely overexploited in an unsustainable manner for human welfare. Climate change-related events have further threatened our NR. The extreme weather events may be related to climate change and are expected to further accelerate in the coming years.Full Text
- Nutritional Security Vis-A-Vis Food Production in India:The Strength of Agri-Nutri Linkage in Retrospect
Abstract Views :394 |
PDF Views:80
Authors
Affiliations
1 Division of Agricultural Extension, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
1 Division of Agricultural Extension, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
Source
Current Science, Vol 114, No 03 (2018), Pagination: 439-441Abstract
India, the largest producer of milk, wheat and fruits, and the second largest producer of rice, pulses and vegetables in the world, with 194 million undernourished people, tops the ‘world hunger list’ as well. It is astonishing to find that the nation has failed to achieve both Millennium Development Goal (MDG) and World Food Summit (WFS) targets, despite consistently high agricultural production over the years and a promisingly higher rate of economic growth. This failure is inconceivable in the sense that the country still has a farming population of around 54% of the total, and has made great strides towards achieving ‘self-sufficiency’ in food production.Full Text
References
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- FAO, IFAD and WFP, The state of food insecurity in the world 2015, meeting the 2015 international hunger targets: taking stock of uneven progress, FAO, Rome, 2015.
- Sahu, S. K., Kumar, S. G., Bhat, B. V., Premarajan, K. C., Sarkar, S., Roy, G. and Joseph, N., J. Nat. Sci. Biol. Med., 2015, 6, 18–23.
- Government of India (GoI), Agricultural Statistics at a Glance, Ministry of Agriculture and Farmers’ Welfare, Department of Agriculture, Cooperation and Farmer’s Welfare, 2014; http://eands.dacnet.nic.in/PDF/Agricultural-Statistics-At-Glance2014.pdf (retrieved on 2 August 2016).
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- CSO, Manual on Health Statistics in India, Ministry of Statistics and Programme Implementation, GoI, 2015; http://mospi.nic.in/mospi_new/upload/Manual-Health-Statistics_5june15.pdf (retrieved on 3 August 2016).
- Prasad, J. B., Kumar, M. and Singh, M., Int. J. Human Soc. Sci. Invent., 2015, 4(1), 30–38.
- Parappurathu, S., Kumar, A., Bantilan, M. C. S. and Joshi, P. K., Food Security, 2015, 7, 1031; doi:10.1007/s12571-0150493-2.
- Gupta, A., Int. J. Sci. Res., 2016, 5(4), 482–483.
- Chakravarty, A., Adv. Econ. Bus., 2015, 3(7), 261–271.
- Nagarajan, S., Bhavani, R. V. and Swaminathan, M. S., Curr. Sci., 2014, 107(6), 959–964.
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- Why Challenges of Doubling Farmers’ Income by 2022 are Acceptable in Context of the Present Indian Agricultural Scenario
Abstract Views :231 |
PDF Views:79
Authors
Affiliations
1 ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
1 ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
Source
Current Science, Vol 116, No 8 (2019), Pagination: 1287-1288Abstract
The earlier strategies for agricultural development in our country focused primarily on enhancing agricultural production and food security. The policies largely emphasized on increase in agricultural productivity through latest technologies and cultivars, and augmented use of quality seeds, agrochemicals and plant nutrients. Those approaches transformed India not only as food selfsufficient at the national level, but also as one of the leading food-exporting countries at the global level; though it did not explicitly recognize the need to increase farmers’ income and never identified any direct means to support the welfare of farmers. Past experiences show that although growth in production enhances farmers’ income in some cases, in most others, it does not enhance with output. The net result is the stagnating farmers’ income, which is evident from the increasing poverty among rural households. The National Sample Survey Office (NSSO) survey data on consumption expenditure for the year 2011–12 revealed that one-fifth of rural households whose main occupation is agriculture fall below poverty line. Furthermore, farming occupation fetched income which is less than non-farm workers. This discrepancy is large and needs a policy strategy to enhance farmers’ income at a profitable rate. It could be achieved in two ways, i.e. increase in producers’ share in consumers’ rupees, and reduction in the number of farmers to share their total income.Full Text
References
- Chand, R. and Parapappurathu, S., Econ. Polit. Wkly, 2013, 47(26), 55–63.
- Chand, R., In Proceedings of the 23rd Dr B. P. Pal Memorial Lecture, Indian Agricultural Research Institute, New Delhi, 2016.
- Gulati, A. and Sweta Saini, In Proceedings of Foundation Seminar on Doubling Farmers’ Income by National Bank for Agriculture and Rural Development, Vigyan Bhavan, New Delhi, 12 July 2016.
- Department of Agriculture and Cooperation (DAC) Report, Ministry of Agriculture and Farmers’ Welfare; http://agricoop.gov.in/sites/default/files/DFI%20Volume%202.pdf
- SFAC, Krishi Sutra 2: Success Stories of Farmers’ Producers Organizations, Small Farmers Agri-business Consortium, Ministry of Agriculture, Government of India, New Delhi, 2013; http://sfacindia.com/ PDFs/Krishi-Sutra(Version2).pdf
- Wang, L. et al., Economic research report: United States Department of Agricultural Economic Research Service, 2015; https:// www.ers.usda.gov.data-products/international-agricultural-productivity/aspx
- NIAP Annual Report, Indian Council of Agricultural Research, New Delhi, 2016, pp. 7–19; http://www.ncap.res.in/upload_files/annual_report/2016-17.pdf
- Padmanaban, G., Curr. Sci., 2018, 114(12), 2432–2433.
- Genetic Algorithms-Based Fuzzy Analytical Hierarchical Process (GA-FAHP) for Evaluating Biofortified Crop Promotion Strategies
Abstract Views :47 |
PDF Views:35
Authors
Affiliations
1 ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110 012, IN
2 ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
3 Indian Council of Medical Research, New Delhi 110 029, IN
1 ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110 012, IN
2 ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
3 Indian Council of Medical Research, New Delhi 110 029, IN
Source
Current Science, Vol 125, No 3 (2023), Pagination: 317-320Abstract
In developing nations such as India, malnutrition is a major nutritional and health challenge. Biofortification has the potential to be an effective instrument in India’s attempts to combat malnutrition. Expert opinion must be used to evaluate the factors related to the promotion, distribution and adoption of biofortified crops. The analytical hierarchy process (AHP) is one of the most often employed decision-making methods. However, conventional AHP is incapable of identifying ambiguity in human judgements. Fuzzy AHP has already been devised to overcome this limitation. Fuzzy AHP necessitates information in pairwise comparisons, which is not always easy to gather. In this context, the Fuzzy AHP technique based on the genetic algorithm has been proposed, which can compute the priority weight without using a pairwise comparison matrix by directly dealing with expert-provided data. The proposed approach has been illustrated using the opinions of 1600 farmers from Odisha, India.Keywords
Biofortified Crops, Fuzzy AHP, Genetic Algorithm, Malnutrition.Full Text
References
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- Ghosh, A. and Kar, S. K., Application of analytical hierarchy process (AHP) for flood risk assessment: a case study in Malda district of West Bengal, India. Nat. Hazards, 2018, 94, 349–368.
- Panchal, S. and Shrivastava, A. K., Landslide hazard assessment using analytic hierarchy process (AHP): a case study of National Highway 5 in India. Ain Shams Eng. J., 2022, 13, 101626.
- Hamidah, M. et al., Development of a protocol for Malaysian important plant areas criterion weights using multi-criteria decision making – analytical hierarchy process (MCDM-AHP). Glob. Ecol. Conserv., 2022, 34, e02033.
- Ly, P. T. M., Lai, W. H., Hsu, C. W. and Shih, F. Y., Fuzzy AHP analysis of internet of things (IoT) in enterprises. Technol. Forecast. Soc. Change, 2018, 136, 1–13.
- Yucesan, M. and Gul, M., Hospital service quality evaluation: an integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS. Soft Comput., 2019, 24, 3237–3255.
- Kumar, R., Dwivedi, S. B. and Gaur, S., A comparative study of machine learning and Fuzzy-AHP technique to groundwater potential mapping in the data-scarce region. Comput. Geosci., 2021, 155, 104855.
- Khan, A. A., Shameem, M., Nadeem, M. and Akbar, M. A., Agile trends in Chinese global software development industry: fuzzy AHP based conceptual mapping. Appl. Soft Comput., 2021, 102, 107090.
- Paul, S. and Ghosh, S., Identification of solid waste dumping site suitability of Kolkata metropolitan area using fuzzy-AHP model. Clean. Logist. Supply Chain, 2022, 3, 100030.
- Goldberg, D. E., Genetic Algorithms in Search, Optimization, and Machine Learning, Addison Wesley, Boston, USA, 1989, 13th edn.
- Wittkowski, K. M., Lee, E., Nussbaum, R., Chamian, F. N. and Krueger, J. G., Combining several ordinal measures in clinical studies. Stat. Med., 2004, 23, 1579–1592.