Application of smart phone agro-advisory services of m4agriNEI in climate smart natural resource management in agriculture by tribal farmers of Meghalaya: an empirical study with structural equation modeling

Singh, RJ; Singh, R. J.; Singh, N.; Anurag, TS; Koyu, Bai

doi:10.53911/jae.2020.9108

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…Mobile applications are becoming increasingly popular among farmers among the different ICT tools, and their use in the agricultural industry is expanding quickly. Mobile-based information delivery holds great promise and it is in use as a major channel for agricultural advisory services [8]. The introduction of mobile applications has led to the development of new services in agriculture for the benefit of farmers and other stakeholders.…”

Section: Introductionmentioning

confidence: 99%

Perceived Effectiveness of the Mobile Applications in Agriculture in Terms of Availability, Acceptance, Usage and Satisfaction

Praneeth,

Arun Kumar S.,

Suresha R. S.

2023

AJAEES

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The rapid advancement of mobile technology has revolutionized various sectors, including agriculture. Mobile applications have emerged as promising tools to enhance agricultural practices by providing farmers with convenient access to vital information and services. This study aims to investigate the perceived effectiveness of mobile applications in agriculture, focusing on their availability, acceptance, usage, and satisfaction. An Ex-post facto research design was used for the present study. The study was conducted in two districts namely Chikkaballapur and Shivamogga districts of Karnataka state which were purposively selected. Chintamani taluq of Chikkaballapur district and Bhadravathi taluq of Shivamogga district are selected randomly. Two villages (Kaivara and Kurutahalli) from chintamani taluq, Hiriyurua and Nanjapura villages from Bhadravathi taluq were selected based on the simple random sampling method. From each village 30 farmers were selected randomly thus making it a total of 120 farmers from two districts. The four apps Farmrise, AgriApp, Krishi Mithra and Krishi Samyojaka were purposively selected based on its extensive use in the study area. The study showed that 67.50 per cent of the respondents had medium perceived effectiveness about the services of the mobile applications followed by low (19.16%) and high (13.34%) perceived effectiveness. The outcomes of this research contribute to a better understanding of the perceived effectiveness of mobile applications in agriculture and provides valuable insights into the availability, acceptance, usage, and satisfaction levels of these apps among farmers. Farmers are more likely to perceive mobile applications as effective when they are readily available and easily accessible in their daily farming activities. Alignment with specific needs and preferences is crucial for adoption. Promoting usage through training and support improves perceived app effectiveness. Farmer satisfaction, user feedback, and issue resolution enhance this perception. Emphasizing these aspects enables mobile applications to be more finely tuned to meet farmers' specific needs, leading to increased adoption, higher utilization, and ultimately, improved support for agricultural practices.

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Section: Introductionmentioning

confidence: 99%

Perceived Effectiveness of the Mobile Applications in Agriculture in Terms of Availability, Acceptance, Usage and Satisfaction

Praneeth,

Arun Kumar S.,

Suresha R. S.

2023

AJAEES

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Promoting the adoption of climate-smart agricultural technologies among maize farmers in Ghana: using digital advisory services

Asante,

Ma,

Prah

et al. 2024

Mitig Adapt Strateg Glob Change

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Although policy and advisory communities have promoted the use of digital advisory services (DAS) to stimulate technology adoption among smallholder farmers, little is known about whether DAS use encourages farmers to adopt climate-smart agricultural (CSA) technologies. This study addresses the gap by estimating data collected from 3197 maize-producing households in rural Ghana and considering three CSA technologies: row planting, zero tillage, and drought-tolerant seeds. A recursive bivariate probit model is utilized to mitigate selection bias issues. The results show that DAS use significantly increases the probabilities of adopting row planting, zero tillage, and drought-tolerant seeds by 12.4%, 4.2%, and 4.6%, respectively. Maize farmers’ decisions to use DAS are influenced by their age, gender, education, family size, asset value, distance to farm, perceived incidence of pest and disease, perceived drought stress, and membership in farmer-based organizations (FBO). Furthermore, the disaggregated analysis reveals that DAS use has a larger impact on the row planting adoption of female farmers than males.

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Application of smart phone agro-advisory services of m4agriNEI in climate smart natural resource management in agriculture by tribal farmers of Meghalaya: an empirical study with structural equation modeling

Cited by 2 publications

References 9 publications

Perceived Effectiveness of the Mobile Applications in Agriculture in Terms of Availability, Acceptance, Usage and Satisfaction

Perceived Effectiveness of the Mobile Applications in Agriculture in Terms of Availability, Acceptance, Usage and Satisfaction

Promoting the adoption of climate-smart agricultural technologies among maize farmers in Ghana: using digital advisory services

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