Assessment of Factors Influencing Use of Insecticide among Smallholders Farmers in Dale Sadi District of Kellem Wallega Zone, Ethiopia
Downloads
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
- Suresh L. Chitragar, Occupational Structure of Population in the Malaprabha River Basin, Karnataka State, India; A Geographical Approach , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Sharanagouda N. Patil, Ramesh M. Kagalkar, Analysis of substrate materials for flexible and wearable MIMO antenna for wireless communication , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- G. Hemamalini, V. Maniraj, Enhanced otpmization based support vector machine classification approach for the detection of knee arthritis , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Neha Verma, Beyond likes & clicks: Empowering role of social media marketing in value creation , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- T. R. Raajpandiyan, Syed T. Hussainy, U. Rizwan, A bivariate replacement policy (T, N) under partial product process , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Vibhoo Bajpai, Public policy as a nudger of cultural sustainability amidst rapid urbanization: A case of Delhi NCR , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Josephine Theresa S, A Framework for Environment Thermal Comfort Prediction Model , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Dinesh Kumar Verma, Ruchi Tripathi, Vijai Krishna Dsa, Rakesh Kumar Pandey, Histopathological Changes in Liver and Kidney of Heteropneustes fossilis (Bloch) on Chlorpyrifos Exposure , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
- Goutam Mandal, Baibaswata Bhattacharjee, Biosynthesis of ZnO nanoparticles using the young fruit of Borassus flabellifer: Characterization and photocatalytic removal of biohazardous safranin-O dye using solar irradiation , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- S. Vanaja, Hari Ganesh S, Application of data mining and machine learning approaches in the prediction of heart disease – A literature survey , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
<< < 34 35 36 37 38 39 40 41 42 43 > >>
You may also start an advanced similarity search for this article.

