Farmer’s acceptance towards sustainable farming technology

Sa’ari, et al.

doi:10.21833/ijaas.2017.012.038

Cited by 6 publications

(2 citation statements)

References 26 publications

(32 reference statements)

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“…It was discovered that perceived usefulness [81][82][83][84] , facilitating conditions [85][86][87][88][89] , perceived ease of use [19,[82][83][84]90] information quality [38,51] , and social influence [28,82,[91][92][93][94] all have a favorable effect on attitude.…”

Section: Discussionmentioning

confidence: 99%

Understanding agricultural grower’s information seeking: An analysis of Internet sources

Kapoor,

Singh

2023

Environ. Soc. Psychol.

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Information is indispensable for the sustainability and growth of every type of business. Farmers are also among those who cannot survive without the proper acquisition and application of Information. However, very few studies have considered the farmer’s need for and the seeking of information which is why to fill this gap, the study looked into the information sources used by farm growers to get the required information, the influence of land size on the utilization of information sources, and how different characteristics related to sources and individuals influence attitude toward the usage of internet sources and provided a model that takes into consideration crucial factors and their influence on attitude toward searching for information from Internet sources. Data were acquired from 400 farmers using a multistage stratified disproportionate sampling procedure and a standardized questionnaire. For evaluating the given data, various analysis techniques were utilized such as Descriptive statistics, Correlation analysis, One-way ANOVA, Factor analysis, and Multiple regression Analysis. The data were evaluated by using SPSS version 25. Farmers, according to the findings, mostly rely on other farmers and input dealers, and mass media sources of information like radio, television, magazines, and newspapers, to acquire information associated with agricultural activities. They commonly utilize mobile social media apps when surfing the internet. Furthermore, the findings discovered that there is a significant difference in the usage of various sources of information, including television, radio, newspapers/magazines, other farmers, input dealers, Krishi Vigyan Kendras, Krishi melas, the state department of agriculture, state agriculture universities, and the Internet on mobile phones-social media applications, depending on the farmers’ farm size. The findings also revealed that the factors that were significantly positively associated with farmers’ attitudes about internet use were, perceived usefulness, ease of use, information quality, facilitating conditions, and social influence. The technology Acceptance Model was used as the foundation for the research framework. By examining past research, the study has discovered additional factors that may influence technology adoption in addition to the two main components of the Technology Acceptance Model, namely perceived usefulness and perceived ease of use. The proposed model may assist information providers in their attempts to lessen and overcome barriers to farmers’ usage of technology. When building effective extension and dissemination programs, the preferred information-gathering modalities of a certain group of farmers should be considered. Intervention techniques must take into account the wide range of information that needs to be seen in farming communities. As a result, information providers must provide context-specific information through the sources that farmers prefer, while also considering the factors that influence their adoption and overcoming those barriers that prohibit farmers from using such sources. The study categorized farmers into four categories based on land size, which would assist information providers in acquiring a thorough grasp of each category of farmer and in developing separate and unique strategies for each type of farmer.

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Section: Discussionmentioning

confidence: 99%

Understanding agricultural grower’s information seeking: An analysis of Internet sources

Kapoor,

Singh

2023

Environ. Soc. Psychol.

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“…The model identifies performance expectancy, effort expectancy, social influence, facilitating conditions, gender, age, experience and voluntariness of use, as key factors that influence technology acceptance and use [29]. According to Sa'ari, Jabar, Tahir and Mahpoth [32], performance expectancy indicates benefits of a technology in performing certain activities. Technology perceived as beneficial is easily accepted.…”

Section: Introductionmentioning

confidence: 99%

Factors Related to Farmers’ Acceptance of Improved Technologies: A Case Study of Small-scale Sugar Cane Farmers in Kakamega County, Kenya.

Thuo¹,

Ombati²,

Nkurumwa³

2022

Int J Agriculture Technology

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Improvement of agricultural technologies has been a global focus, aimed at enhancing agricultural productivity for economic growth and improved livelihood. Through research, many agricultural technologies, loaded with potential benefits have been produced but their acceptance by the intended users has been a global challenge. This calls for need to develop effective mechanism to enhance technology acceptance so that their potential benefits may be realised. This study focused on these phenomena through establishment of various factors related to acceptance of improved sugar cane varieties among small-scale sugar cane farmers in Kakamega County. Understanding of these factors was critical, as it would pin point critical conditions that would facillitate wider acceptance of improved technologies by the targeted users. The study was built on Unified Theory of Acceptance and Use of Technology (UTAUT); and the theory of Diffusion of Innovations (DOI). A Cross-Sectional Survey research design was used. The target population was 137,355 sugar cane farmers from Kakamega County, from which a sample of 384 farmers was randomly selected. Questionnaires were used to collect data. Statistical analysis was done using chi-square at 0.05 significance level. The study findings established significant relationships between gender, age, education, land ownership, experience in farming, source of income, sugar cane varietal attributes, variety choice, seed sources, availability of advisory services and marketing of sugar cane, with farmers’ acceptance of improved varieties. Addressing these factors is of great importance to technology developers and promoters as they would facilitate acceptance of the improved technologies produced by farmers. The study recommended extension service providers and sugar millers to provide farmers with adequate information on improved sugar cane varieties, required facilitating resources and supportive services in effort to enhance production of these varieties by farmers. The study has also contributed valuable information to the existing literature in agricultural extension.

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Performance Analysis of Developed Multi Soil Sensor System for Smart Farming System

Kassim

Kamarudin

Aziz

et al. 2022

Lecture Notes in Electrical Engineering

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Farmer’s acceptance towards sustainable farming technology

Cited by 6 publications

References 26 publications

Understanding agricultural grower’s information seeking: An analysis of Internet sources

Understanding agricultural grower’s information seeking: An analysis of Internet sources

Factors Related to Farmers’ Acceptance of Improved Technologies: A Case Study of Small-scale Sugar Cane Farmers in Kakamega County, Kenya.

Performance Analysis of Developed Multi Soil Sensor System for Smart Farming System

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