Determinants of precision agriculture technology adoption in developing countries: a review

Nguyen, Long Le Hoang; Halibas, Alrence Santiago; Nguyen, Trung Quang

doi:10.1080/15427528.2022.2080784

Cited by 7 publications

(3 citation statements)

References 80 publications

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“…Research has shown that level of education and adoption of agricultural technology are directly correlated [15]. In this study, majority of the farmers were educated up to primary level.…”

Section: Education Level and Adoption Of Agricultural Technologiesmentioning

confidence: 70%

To Determine the Influence of Farmer’s Educational Level on Adoption of Agricultural Water Management Practices in Rongai Sub-county, Nakuru County, Kenya

Mwangi,

Mwaniki,

Ngesa

2024

AJAEES

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Water is a critical input for agricultural production and therefore, plays an important role in food security. There are different practices that can aid in managing water used for agriculture. Some of these agricultural water management practices are; rain water harvesting, irrigation, organic farming, mulching and use of drought resistant crops among others. Farmer’s decision to either adopt or reject these practices can be affected by several factors, some of which are socio-economic. Some of the socio-economic factors that may influence adoption of these practices include farmer’s educational level, income level and farm size, among others. This research delve into the influence of farmer’s educational level on adoption of agricultural water management practices. A cross-sectional survey design was adopted, while proportionate and simple random sampling technique was used to obtain the respondents. The accessible population was 6,230 smallholder farmers from the target population of 26,804 smallholder farmers in Rongai sub county Kenya. The study was done in August 2023 to November 2023.The study included 120 smallholder farmers in Rongai sub-county. The study used questionnaire to collect data while binary logistic regression was used to analyze the data. The P value calculated for the 120 smallholder farmers was P=.56 which is >than .05 concluding that in this study education level did not have an influence on adoption of agricultural water management practices. The findings of the study are useful and can encourage farmers to adopt agricultural technologies regardless of their formal education level. The findings may also guide agricultural extension officers to focus on training the farmers on the specific technologies without necessarily focusing on their level of education. Further, the government, through agricultural extension officers, and other policy makers in the agricultural sector, may use the findings of this study while promoting adoption of agricultural technologies, as well as in coming up with appropriate policies that can help improve adoption of agricultural technologies.

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“…Research has shown that level of education and adoption of agricultural technology are directly correlated [15]. In this study, majority of the farmers were educated up to primary level.…”

Section: Education Level and Adoption Of Agricultural Technologiesmentioning

confidence: 70%

To Determine the Influence of Farmer’s Educational Level on Adoption of Agricultural Water Management Practices in Rongai Sub-county, Nakuru County, Kenya

Mwangi,

Mwaniki,

Ngesa

2024

AJAEES

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“…The coffee branch bending tends to be viewed with skepticism by both forest management and the community itself. We would say that social compatibility, or social encouragement or influence for the technique, is relatively low and an inhibiting factor for the diffusion to wider social levels [13,51] . In this sense, what remains undetermined is the mechanism of diffusion of the bending technique.…”

Section: Discussionmentioning

confidence: 99%

Exploring the Relative Advantages of Local Innovation in Agroforestry

2022

Front. Agr. Sci. Eng.

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HIGHLIGHTS• Promotion of local sustainable innovation developed by forest farmers.• Focusing on bending of branches to increase coffee production in a pine-based agroforestry system.• Using a combination of concepts of perceived characteristics of innovation.• Techno-social, economic and ecological benefits are the key features.• Local techniques may be prospective for developing sustainable agroforestry innovation.

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“…Several studies have addressed factors affecting adoption of general ICT applications for farming in Vietnam ( Lampach et al, 2021 ; Tran et al, 2019 ) and other developing countries ( Burkitbayeva et al, 2020 ; Kante et al, 2019 ; Tolentino & Hernandez, 2020 ). However, these findings do not fully explain the complex, unique nature of PA ( Nguyen et al, 2022 ): while other general ICTs require only a single system or device installation, PA technology often requires a systematic combination of diagnostic tools (GPS, GIS, and remote sensing) and applicative tools (variable rate application, unmanned vehicles) to ensure maximum benefits from synergizing crop monitoring and precise control of nutrient inputs ( Chawade et al, 2019 ; Zhao et al, 2020 ). PA technology adoption will shift Vietnamese farming practices towards focussing on leveraging the power of farming data analysis for precise chemical and nutrient treatment ( Monteleone et al, 2019 ) to achieve productivity and environmental sustainability.…”

Section: Introductionmentioning

confidence: 99%

Factors That Influence the Intention of Smallholder Rice Farmers to Adopt Cleaner Production Practices: An Empirical Study of Precision Agriculture Adoption

Nguyen,

Khuu,

Halibas

et al. 2023

Eval Rev

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Sustainable agriculture is crucial for achieving SDG2 and building a resilient climate-food system. This study provides a nuanced understanding of factors that influence the adoption of precision agriculture technology by Vietnamese smallholder rice farmers as a sustainable agricultural solution. The study’s objectives are: (1) to provide a nuanced understanding of factors that influence adoption of precision agriculture technology by Vietnamese smallholder rice farmers; and (2) to identify factors associated with agricultural practice in Vietnam that may impact the adoption of precision agriculture technology. The study conducted 35 semi-structured interviews with smallholder rice farmers and agriculture experts. Data were analyzed using iterative thematic analysis. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was used for empirical analysis. The UTAUT constructs of Performance expectancy, Effort expectancy, Government support, and Social influence were found to be determinants of adoption. Trialability and Observability impact Effort expectancy and Performance expectancy. We also discovered that the performance of agricultural cooperatives and support of lead firms play a crucial role in facilitating agricultural technology adoption by Vietnamese smallholder rice farmers. The results confirm the applicability of UTAUT in defining smallholders’ behavioural intention and predicting agricultural technology adoption. The study also provides constructive feedback on the UTAUT model by highlighting the effect of agricultural cooperatives’ performance as innovation intermediaries and of the support of lead firms.

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Determinants of precision agriculture technology adoption in developing countries: a review

Cited by 7 publications

References 80 publications

To Determine the Influence of Farmer’s Educational Level on Adoption of Agricultural Water Management Practices in Rongai Sub-county, Nakuru County, Kenya

To Determine the Influence of Farmer’s Educational Level on Adoption of Agricultural Water Management Practices in Rongai Sub-county, Nakuru County, Kenya

Exploring the Relative Advantages of Local Innovation in Agroforestry

Factors That Influence the Intention of Smallholder Rice Farmers to Adopt Cleaner Production Practices: An Empirical Study of Precision Agriculture Adoption

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