Driving factors for developing integrated farming: Multi-criteria decision-making analysis


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Authors

  • AVIJIT HALDAR ICAR-Agricultural Technology Application Research Institute Kolkata, Kolkata, West Bengal 700 097, India
  • SANJIT MAITI ICAR-National Dairy Research Institute, Karnal, Haryana image/svg+xml
  • RUPAK GOSWAMI School of Agriculture and Rural Development, Ramakrishna Mission Vivekananda Educational and Research Institute, Narendrapur Campus, South 24 Parganas, West Bengal
  • SATYENDRA NATH MANDAL Kalyani Government Engineering College, Kalyani, Nadia, West Bengal
  • ARKAPRABHA SHEE Dhaanyaganga Krishi Vigyan Kendra, Ramakrishna Mission Ashrama, Sargachhi Ashrama, Sargachhi, Murshidabad, West Bengal
  • BISWAJIT GOSWAMI Dakshin Dinajpur Krishi Vigyan Kendra, Uttar Banga Krishi Viswavidyalaya, Majhian, Patiram, Dakshin Dinajpur, West Bengal
  • DHIMAN MAHATO Kalyan Krishi Vigyan Kendra, Jahajpur, Biltora, Purulia, West Bengal
  • DIPANKAR GHORAI Burdwan Krishi Vigyan Kendra, ICAR-Central Research Institute for Jute and Allied Fibres, Bud Bud, Purba Bardhaman, West Bengal
  • KAUSHIK PAL Parganas Krishi Vigyan Kendra, West Bengal University of Animal and Fishery Sciences, Ashokenagar, Parganas, West Bengal
  • MADHUCHHANDA KHAN Rathindra Krishi Vigyan Kendra, Palli Siksha Bhavana, Institute of Agriculture, Viswa Bharati, Sriniketan, Birbhum, West Bengal
  • MALAY KUMAR SAMANTA Nadia Krishi Vigyan Kendra, Bidhan Chandra Krishi Viswavidyalaya, Gayeshpur, Nadia, West Bengal
  • MANAS KUMAR DAS Jalpiguri Krishi Vigyan Kendra, West Bengal University of Animal and Fishery Sciences, Ramshai, Jalpaiguri, West Bengal
  • MOUMITA DEY GUPTA Bankura Krishi Vigyan Kendra, West Bengal Comprehensive area Development Corporation, Sonmukhi, Bankura, West Bengal
  • MOUTUSI DEY Uttar Dinajpur Krishi Vigyan Kendra, Uttar Banga Krishi Viswavidyalaya, Chopra, Uttar Dinajpur, West Bengal
  • PRANAB BARMA Darjeeling Krishi Vigyan Kendra, Uttar Banga Krishi Viswavidyalaya, Kalimpong, West Bengal
  • PRASANTA CHATTERJEE Nimpith Krishi Vigyan Kendra, Nimpith, South 24 Parganas, West Bengal
  • RAHUL DEB MUKHERJEE Coochbehar Krishi Vigyan Kendra, Uttar Banga Krishi Viswavidyalaya, Pundibari, Coochbehar, West Bengal
  • RAKESH ROY Malda Krishi Vigyan Kendra, Uttar Banga Krishi Viswavidyalaya, Ratua, Malda, West Bengal
  • SRABANI DAS Jhargram Krishi Vigyan Kendra, Bidhan Chandra Krishi Viswavidyalaya, Regional Research Station, Jhargram, West Bengal
  • SWAGAT GHOSH Sasya Shyamala Krishi Vigyan Kendra, Ramakrishna Mission Vivekananda Educational and Research Institute, Arapanch, Sonarpur, Parganas, West Bengal
  • UPAMA DAS ICAR-Agricultural Technology Application Research Institute Kolkata, Kolkata, West Bengal 700 097, India
  • KUNAL ROY Kalyani Government Engineering College, Kalyani, Nadia, West Bengal
  • AYAN DAS Kalyani Government Engineering College, Kalyani, Nadia, West Bengal
  • SAMRAT MUKHERJEE National Bank for Agriculture and Rural Development, Kolkata, West Bengal
  • SUBRATA KUMAR ROY ICAR-Agricultural Technology Application Research Institute Kolkata, Kolkata, West Bengal 700 097, India
  • PRADIP DEY ICAR-Agricultural Technology Application Research Institute Kolkata, Kolkata, West Bengal 700 097, India

https://doi.org/10.56093/ijas.v94i3.148603

Keywords:

Analytic hierarchy process (AHP), Driving factors, Integrated farming (IF), Limiting factors, SWOT analysis, West Bengal

Abstract

Integrated farming (IF) by temporal and spatial mixing of crops, livestock, fishery, and allied activities in a single farm, is considered a critical multifunctional option for smallholder farmers, who form the backbone of Indian agriculture, to ensure sustainable livelihoods, the productivity of agricultural enterprises, stability of farm income, food and nutritional security. However, the adoption of IF still remains low. To explore the critical factors of IF systems and prioritize them for stakeholders’ decision-making and development of strategies, the current research was undertaken to integrate SWOT (Strengths, Weaknesses, Opportunities, and Threats) - AHP (Analytic Hierarchy Process) analysis. We used a multi-stage sampling to select 60 practicing IF adopters in West Bengal state of eastern India for the collection of pair-wise comparison data on 32 SWOT factors using a close-ended questionnaire and subjected to AHP analysis to understand the quantitative importance of each factor of SWOT. Results of the multi- criteria analysis showed the total priority weight of the opportunity component (0.450) was the highest, followed by strength (0.341), weakness (0.114), and threat components (0.095). Based on the global priority weight of all 32 SWOT factors, sustainable livelihood security” was the key driving factor (0.081) followed by promotion of organic farming (0.072), better risk management (0.063) and incorporation of high-value crops (0.063) of opportunity component. Increased farm production and productivity (0.058) and enhancement in income (0.055) of strength component also played as vital driving factors. There was no factor of weakness and threat components within the first 10 important factors. The insights of this study may help improve extension services to smallholder farmers for prioritizing strategies in the adoption process of IF. Additionally, it can also help policymakers to design targeted policies, remove barriers, foster innovation, and promote sustainable practices, contributing to food security and environmental sustainability.

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References

Ajzen I. 1991. The theory of planned behaviour. Organizational Behaviour and Human Decision Processes 50: 179–211.

Basavanneppa M A and Gaddi A K. 2020. Doubling the small farmer’s income through integrated farming system approach in irrigated ecosystem. International Journal of Chemical Studies 8: 955–58.

Bhargavi B, Behera U K, Rana K S, Singh R, Prasad S, Pandey R N and Singh G. 2019. Crop diversification with high-value crops for higher productivity and profitability under irrigated ecosystem. Indian Journal of Agronomy 64: 440–44.

Blagojevic B, Srdjevic B, Srdjevic Z and Zoranovic T. 2016. Deriving weights of the decision makers using AHP group consistency measures. Fundamenta Informaticae 144: 383–95.

Dadabhau A S and Kisan W S. 2013. Sustainable rural livelihood security through integrated farming systems: A review. Agricultural Reviews 34: 207–15.

Dixon-Ogbechi B N and Adebayo A K. 2020. Application of the AHP model to determine prefab housing adoption factors for developers in Lagos state. International Journal of the Analytic Hierarchy Process 12: 297–327.

Faria Correa R G F, Kliemann F J, Souza J S, Lampert V N and Barcellos J. 2019. Enterprise risk management in integrated crop-livestock systems: A method proposition. Journal of Agricultural Science 156: 1222–232.

Genç T, Kabak M, Ozceylan E and Çetinkaya C. 2018. Evaluation of natural gas strategies of Turkey in east Mediterranean region: A strengths-weaknesses-opportunities-threats and analytic network process approach. Technological and Economic Development of Economy 24: 1041–062.

Helms M M and Nixon J. 2010. Exploring SWOT analysis–where are we now? Journal of Strategy and Management 3: 215–51. Hendrickson J R, Hanson J D, Tanaka D L and Sassenrath G. 2008. Principles of integrated agricultural systems: Introduction

to processes and definition. Renewable Agriculture and Food Systems 23: 265–71.

Herridge D F, Win M M, Nwe K M M, Kyu K L, Win S S, Shwe T, Min Y Y, Denton M D and Cornish P S. 2019. The cropping systems of the Central Dry Zone of Myanmar: Productivity constraints and possible solutions. Agricultural Systems 169: 31–40.

Kumar S, Subash N, Shivani S, Singh S S and Dey A. 2012. Evaluation of different components under integrated farming system (IFS) for small and marginal farmers under semi-humid climatic environment. Experimental Agriculture 48: 399–413.

Kurttila M, Pesonen M, Kangas J and Kajanus M. 2000. Utilizing the analytic hierarchy process (AHP) in SWOT analysis-A hybrid method and its application to a forest-certification case. Forest Policy and Economics 1: 41–52.

Learned E P, Christensen C R, Andrews K E and Guth W D. 1969. Business Policy: Text and Cases. Irwin, Homewood, USA.

Morris C and Winter M. 1999. Integrated farming systems: The third way for European agriculture? Land Use Policy 16: 193–205.

Ngatindriatun and Adzim F. 2022. Agribusiness- based farmer empowerment model with a sustainable integrated farming system approach to increase income multiplier effect. ABAC Journal 42: 267–92.

Pandey P R, Gupta J K, Narvariya R K, Meena S C and Narwariya D. 2019. Constraints faced by farmers in adoption of integrated farming system in Vindhyan Plateau of Madhya Pradesh. Plant Archives 19: 512–14.

Purnomo S H, Sari A I, Emawati S and Rahayu E T. 2021. Factors influencing the adoption of integrated crop-livestock to support land conservation of organic agriculture in Mojosongo area, Karanganyar, Indonesia. IOP conference series. Environmental Earth Science 724: 12049. doi: 10.1088/1755-1315/724/1/012049

Raman K V and Balaguru T. 1988. NARP–An innovative approach towards FSR in India. Agricultural Administration and Extension 30: 203–13.

Rathore V S, Tanwar S P S, Kumar P and Yadav O P. 2019. Integrated farming system: Key to sustainability in arid and semi-arid regions. Indian Journal of Agricultural Sciences 89: 181–92.

Saaty T L. 1980. The Analytic Hierarchy Process. McGraw-Hill, New York.

Saaty T L. 2000. Fundamentals of Decision Making and Priority Theory, 2nd edn. RWS Publications, Pittsburgh P A, Pennsylvania, United States.

Saaty T L. 2008. Decision making with analytic hierarchy process. International Journal of Services Sciences 1: 83–98.

Shefat S H T, Rahman A, Chowdhury M A and Uddin M N. 2018. Integrated aqua farming in Bangladesh: SWOT analysis. Acta Scientific Agriculture 2: 112–18.

Shrestha R K, Alavalapati J R R and Kalmbacher R S. 2004. Exploring the potential for silvopasture adoption in south- central Florida: An application of SWOT-AHP method. Agricultural Systems 81: 185–99.

Srivastava A P. 2018. Selected integrated farming system models for enhanced income. Indian Farming 68(1).

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Submitted

2024-02-16

Published

2024-05-08

How to Cite

HALDAR, A. ., MAITI, S. ., GOSWAMI, R. ., MANDAL, S. N. ., SHEE, A. ., GOSWAMI, B. ., MAHATO, D. ., GHORAI, D. ., PAL, K. ., KHAN, M. ., SAMANTA, M. K. ., DAS, M. K. ., GUPTA, M. D. ., DEY, M. ., BARMA, P. ., CHATTERJEE, P. ., MUKHERJEE, R. D. ., ROY, R. ., DAS, S. ., … DEY, P. . (2024). Driving factors for developing integrated farming: Multi-criteria decision-making analysis. The Indian Journal of Agricultural Sciences, 94(3-1), 49–55. https://doi.org/10.56093/ijas.v94i3.148603
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