Assessment of Factors Influencing Use of Insecticide among Smallholders Farmers in Dale Sadi District of Kellem Wallega Zone, Ethiopia
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2026.17.2.01Keywords:
Insecticide Adoption;, Probit Model, Smallholder Farmers, Agricultural Technology, EthiopiaDimensions Badge
Issue
Section
License
Copyright (c) 2026 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The research aimed to evaluate influences upsetting the application of insecticide among smallholder farmers in Dale Sadi District. The data collection method is employed by randomly selecting 138 farmers, and the data type used is a cross-sectional type of data. Descriptive and econometric analysis was employed for data analysis. Descriptive analysis revealed that 72.46% percent of sample respondents applied insecticide, and the rest, 27.54%, did not apply it. Probity model analysis revealed that education status, farm size, total livestock owned, credit access, frequency of extension contact, and farmer’s experience in the use of chemical pesticides have a positive influence and significantly affect the probability of being an insecticide user. Therefore, stakeholders should focus in enhancing continuous training, conserving existing farmland, improving market infrastructure, and increasing access to credit services, enhance the use of chemical insecticide to increase farm productivity among smallholder farmers with less cost to transform and enhance the role of agriculture.Abstract
How to Cite
Downloads
Similar Articles
- U. Johns Praveena, J. Merline Vinotha, The multi-objective solid transshipment problem with preservation technology under fuzzy environment , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Roshni Kanth, R Guru, Anusuya M A, Madhu B K, A comprehensive study of AI in test case generation: Analysing industry trends and developing a predictive model , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Chetna Dhull, Asha ., Impact of crop insurance and crop loans on agricultural growth in Haryana: A factor analysis approach , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Bayelign Abebe Zelalem, Ayalew Ali Abebe, Dividend policy and banks’ performance: Assessing the relevance versus irrelevance theory , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Divya R., Vanathi P. T., Harikumar R., An optimized cardiac risk levels classifier based on GMM with min- max model from photoplethysmography signals , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Mithun Vinayaka Kulkarni, Vijayanand M, Syed Mudassir, Said Bakhit Ali Bakhit Tabook, Mohammed Hassan Abdullah Al-Hafeedh, An overview of wastepaper and carton recycling in Oman , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
- S. Sindhu, L. Arockiam, A lightweight selective stacking framework for IoT crop recommendation , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- N.S.G. Ganesh, V Arulkumar, R. Lathamanju, Priscilla Joy , Energetic and highly reliable photovoltaic power source assisted water pump control system design using IoT , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Temesgen A. Asfaw, Batch size impact on enset leaf disease detection , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Isreal zewide, Abde S. Hajigame, Wondwosen Wondimu, Kibinesh Adimasu, Response of Bread Wheat (Triticum aestivum L.) Varieties to Blended NPSB Fertilizer Levels in Sori Saylem District, South-West Ethiopia , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
You may also start an advanced similarity search for this article.

