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
- V.Samuthira Pandi, B. R. Senthil kumar, M Anusuya, Annu Dagar, Synthesis and characterization of ZnO, ZnO doped Ag2O nanoparticles and its photocatalytic activity , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Prakash Lakhani, Premasish Roy, Souren Koner, Deepa Nair, D. Patil, Mona Sinha, Exploring the influence of work-life balance on employee engagement in Mumbai’s real estate industry , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- L. Amudavalli, K. Muthuramalingam, Energy-efficient location-based routing protocol for wireless sensor networks using teaching-learning soccer league optimization (TLSLO) , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- R. Kalaiselvi, P. Meenakshi Sundaram, Unified framework for sybil attack detection in mobile ad hoc networks using machine learning approach , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Partha Majumdar, Empowering skill development through generative AI bridging gaps for a sustainable future , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Sirajum Munira Priety, Farhan Bin Manjur, AI Driven Approach in Smart Manufacturing in Bangladesh , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Amresh Kumar Singh, Manjit Singh Chhetri, Pushyamitra Mishra, Toughness and Ductile Brittle Transition Temperature of Different Mineral Filler Reinforced TPOs Composites , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Vatsal Parashar, Dimple Raina, Shweta Sahni, Molecular profiling and prevalence of hepatitis B virus (HBV) in clinical isolates and its importance , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Siddharth P. Singh, Amar B. Verma, Ankur Srivastava, Kamlesh K. Chaurasiya, Anil Kumar, Prashant K. Singh, Sindhu Singh, Design Design, structural, and electrical conduction behavior of Zr-modified BaTiO3-BiFeO3 perovskite ceramics , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
You may also start an advanced similarity search for this article.

