Smart Farming Technologies: Exploring the Factors of Adoption Among Smallholder Farmers in Peninsular Malaysia

The impact of climate change on global agriculture has increased the need for sustainable and resource-efficient farming practices to ensure food security. Smart farming, which incorporates the use of artificial intelligence (AI) and the Internet of Things (IoT), allows farmers to monitor changes in climatic factors and soil conditions, optimize farming operations and increase crop yields. This study aimed to identify the factors influencing the adoption of smart farming among smallholders in Peninsular Malaysia. Twelve participants were recruited using the snowball sampling method and thematic analysis was used to identify patterns and themes in the qualitative data obtained from interviews. The analysis revealed that participants desired to use smart farming technologies due to the lack of foreign labour, cost savings, time flexibility, awareness and education campaigns and government support. Utilizing smart farming technologies can result in cost savings through efficient use of inputs, reduction of waste and automation of tedious tasks. The use of solar energy can provide a dependable and affordable energy source to increase sustainability, while precision planting and seeding techniques can improve the efficient use of resources. The government's provision of information and funding has helped participants establish smart farming in their farms, with some receiving grants and collaborating with universities to develop new technologies. Overall, smart farming technologies can help farmers manage their crops and resources more effectively, increase yields and optimize farm operations

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Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2025-03-15
DOI
https://doi.org/10.37934/araset.62.1.9097
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Smart Farming Technologies: Exploring the Factors of Adoption Among Smallholder Farmers in Peninsular Malaysia

Rumaizah Che Md Nor, Zubaidah Omar, Fazleen Abdul Fatah, J. Saili et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology
Smart Agriculture and AI
article

Smart Farming Technologies: Exploring the Factors of Adoption Among Smallholder Farmers in Peninsular Malaysia

Rumaizah Che Md Nor, Zubaidah Omar, Fazleen Abdul Fatah, J. Saili, Abdul Rahman Saili, Nur Masriyah Hamzah, Dayang Sir Nurhafiza Abang Ahmad
article en

Abstract

The impact of climate change on global agriculture has increased the need for sustainable and resource-efficient farming practices to ensure food security. Smart farming, which incorporates the use of artificial intelligence (AI) and the Internet of Things (IoT), allows farmers to monitor changes in climatic factors and soil conditions, optimize farming operations and increase crop yields. This study aimed to identify the factors influencing the adoption of smart farming among smallholders in Peninsular Malaysia. Twelve participants were recruited using the snowball sampling method and thematic analysis was used to identify patterns and themes in the qualitative data obtained from interviews. The analysis revealed that participants desired to use smart farming technologies due to the lack of foreign labour, cost savings, time flexibility, awareness and education campaigns and government support. Utilizing smart farming technologies can result in cost savings through efficient use of inputs, reduction of waste and automation of tedious tasks. The use of solar energy can provide a dependable and affordable energy source to increase sustainability, while precision planting and seeding techniques can improve the efficient use of resources. The government's provision of information and funding has helped participants establish smart farming in their farms, with some receiving grants and collaborating with universities to develop new technologies. Overall, smart farming technologies can help farmers manage their crops and resources more effectively, increase yields and optimize farm operations

Journal of Advanced Research in Applied Sciences and Engineering TechnologyVol. 62(1)
Universiti Malaysia Sarawak (MY), Universiti Teknologi MARA (MY)
Zero hunger
Openalex Percentile: Top 97%
Smart Agriculture and AI
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