September 12, 2025Anjoro International Journal of Agriculture and BusinessOpen Access

Identifying contributing variables on rice production: Case study of rural smallholder farmers

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Rice production yields are positively influenced by land area, number of seeds, and land fragmentation, while pest attacks negatively impact yields.
Multiple linear regression analysis reveals important factors affecting rice production efforts among smallholder farmers.
Failure Mode Effect Analysis highlights critical risks faced by agricultural actors, including supply chain and production risks.
Identifying these variables helps in understanding challenges for rural farmers and aims to improve production outcomes.

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Implication

Multiple linear regression identifies relationships between production yields and agricultural risks among smallholder farmers, highlighting critical factors impacting rice production.

Cite This Study

Berlian et al. (2024) studied this question.

synapsesocial.com/papers/68d441a6713b0b5dfea80939 https://doi.org/10.31605/anjoro.v5i2.3491

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Implication

Multiple linear regression identifies relationships between production yields and agricultural risks among smallholder farmers, highlighting critical factors impacting rice production.

Identifying contributing variables on rice production: Case study of rural smallholder farmers

Key Points

Discussion

Implication

Cite This Study

Identifying contributing variables on rice production: Case study of rural smallholder farmers

Key Points

Discussion

Implication

Cite This Study

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Also Consider