Impact of Meghdoot Mobile App - A Weather-based Agro-advisory Service in Cold arid Ladakh

Authors

  • Yogesh Kumar Technical Assistant, Agriculture Extension Education, AICRP-National Seed Project (Seeds), Shalimar, SKUAST-Kashmir, J&K, India
  • Kaneez Fatima Technical Officer, Agronomy, High Mountain Arid Agriculture Research Institute, Leh-Ladakh, SKUAST-Kashmir, J&K, India
  • Mahendra Singh Raghuvanshi Principal Scientist, Agronomy. ICAR-National Bureau of Soil Survey and Land Planning Nagpur-440033 Maharashtra, India
  • Manjeet Singh Nain Principal Scientist, Division of Agricultural Extension, ICAR-IARI, New Delhi-110012, India
  • Mehrajuddin Sofi Senior Scientist, PBG, Advance Research Station of Saffron, Dusu, Pampore, SKUAST-Kashmir, J&K, India

DOI:

https://doi.org/10.48165/IJEE.2022.58329

Keywords:

Meghdoot, Agro-advisories services, Farmers, Registered, Non-registered

Abstract

The study was conducted to evaluate the impact of the Meghdoot mobile application-a weather-based agro-advisory service in cold arid Ladakh during 2020-21. A random sample of 100 registered farmers was selected which included 25 farmers each from Stok and Stakna villages and 50 farmers from Bazgoo village of Leh district. The data indicated that farmers of Leh district were very belittling of newspapers followed by radio. Almost, 70 per cent of registered farmers have followed information for agriculture practices through the Meghdoot application of agro-meteorology advisory services but non-registered farmers used to follow their traditional methods for agricultural practice due to a lack of knowledge of this application of agromet-advisory services. More than 50 per cent of farmers agreed that this application provided weather information in the local language with a mean score of 0.55. Similarly, in the case of wheat, an average yield superiority of 16.71 per cent was recorded in the case of registered farmers over non-registered farmers during 2020. The mobile application provided benefits to the registered farmers in comparison to non registered farmers of district Leh, Ladakh. 

Downloads

Download data is not yet available.

References

Bijlwan, A. (2020). Integrated agromet advisories services (IAAS) and its impact on farmers. Just Agriculture, 1 2), 305.

Chattopadhyay, N., & Chandras S. (2018). Agrometeorological advisory services for sustainable development in Indian agriculture. Biodiversity International Journal, 2(1), 13-18. doi:10.15406/bij.2018.02.00036

Dhulipala, R., Gogumalla, P., Rao, K. P. C., Palanisamy, R., Smith, A., Nagaraj, S., Suryachandra Rao, A., Vishnoi, L., Singh, K. K., Bhan, S. C., & Whitbread, A. M. (2021). Meghdoot: A mobile app to access location-specific weather-based agro-advisories pan India. CCAFS Working Paper no. 370. Wageningen, the Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).

Diaz Analiza, C., Sasaki, N., Tausaka Takuji, W., & Szabo, S. (2021). Factors affecting farmer’s willingness to adopt a mobile app. in the marketing of bamboo products. Resource, Conservation & Recycling Advances, 11, October 2021, 200056.

Jiyawan, R., Jirli, B., Khatoon, G., & Sarada (2010). Farmer’s Perception towards conservation village practices. Journal of Communication Mobilization & Sustainable Development, 5(2), 42-46.

Johannes, K. (2019). Factors influencing the use of mobile applications by farmers for data and information management- Acase in North-Western Germany. M.Sc. Thesis unpublished in Wageningen University & Research 23-12-2019.

Kaur, M., & Anand, A. (2021). Perception of teachers regarding gaps in student competencies for industrial and farmer’s needs. Indian Journal of Extension Education, 57(3), 65-70.

Kumbhare, N. V., Sharma, N., Ahmad, N., Joshi, P., & Dabas, J. P. S. (2019). Assessment of utility of mobile based agro-advisory services in NCR Delhi. Indian Journal of Extension Education, 55(3), 34-38.

Manikandan, N. (2008). Economic impact of agro-meteorological advisory services over a central zone of Kerala. Journal of Agro meteorology, 10(Special Issue), 230-234.

Rahman, M. A., Lalon, S. B., & Surya, M. H. (2016). Information sources are preferred by the farmers in receiving farm information. International Journal of Agricultural Extension and Rural Development, 3(12), 258-262.

Rahman, T., Khan, A. S., & Niaz, A. (2020). Agro-information service and information-seeking behaviour of small-scale farmers in rural Bangladesh. Asia Pacific Journal of Rural Development, 30(1- 2), 175-194. https://doi.org/10.1177/1018529120977259 .

Ramachandrappa, B. K., Thimmegowda, M. N., Krishnamurthy, R., Srikanth Babu, P. N., Savitha, M. S., Srinivasarao, C., Gopinath, K. A., & Ravindra Chary, G. (2018). Usefulness and impact of agro met advisory services in the eastern dry zone of Karnataka. Indian Journal of Dryland Agricultural Research and Development, 33(1), 32-36. doi : 10.5958/2231-6701.2018. 00005.2

Saini, N. (2019). Meghdoot review: App to help farmers manage crops better. Article published in the economic times, 23 Nov. 2019. http://economictimes.indiatimes.com .

Sindhu, M. (2017). Perception of farmers towards custom hiring service centre. M.Sc. (Agri.) Thesis, University of Agricultural Sciences, Dharwad, Karnataka (India).

Vartika. (2019) Meghdoot: A new mobile app launched to assist Indian farmers. Indian science wire story published in clean future.co.in /2019/08/07.

Venkatasubramanian, K., Tall, A., Hansen, J., & Aggrarwal, P. (2014). Assessment of India’s integrated agrometeorological advisory service from a farmer perspective. CCAFS Working Paper no. 54, Copenhagen, Denmark CCAFS. https://cgspace.org/rest/ bitstream/34467/retrieve.

Downloads

Published

2022-06-28

How to Cite

Kumar, Y., Fatima, K., Raghuvanshi, M.S., Nain, M.S., & Sofi, M. (Trans.). (2022). Impact of Meghdoot Mobile App - A Weather-based Agro-advisory Service in Cold arid Ladakh. Indian Journal of Extension Education, 58(3), 142–146. https://doi.org/10.48165/IJEE.2022.58329