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
- Sachi Kumari, Amrendra Kumar Jha, STUDY ON DIVERSITY OF RICE FIELD BLUE-GREEN ALGAE FROM RICE FIELD OF CHAPRA IN BIHAR , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Mufeeda V. K., R. Suganya, Novel deep learning assisted plant leaf classification system using optimized threshold-based CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Saarumathi R, Ritha W, Conglomerate Charge and Merchandise Swayed Inventory Model for Fragile Vendibles , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Karthik Baburaj, Navaneeth kattil Madathil, Roshini Barkur, NLP Based Voice Assistant Usage on Consumer Shopping , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
- Anjum Parvez, Sandhya Verma, Rajesh Bahuguna, Scientific Methods in Protection of Wildlife: A Need of Time , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- A. Appu, How does brand equity influence the intent of e-bike users? Evidence from Chennai city , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Ali Dakheel, Ismaeil Mammani, Jiyar Naji, The effect of human periodontal pathogenic bacteria on immediate basal implant placement: A comparative study in beagle dogs , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Priya Rajwade, Alka Bansal, A study of the perceptions of teachers towards a holistic approach in teaching in CBSE board schools in the context of NEP 2020 at the foundational and preparatory stages , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- V. Umadevi, S. Ranganathan, IoT based energy aware local approximated MapReduce fuzzy clustering for smart healthcare data transmission , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Prabu Gopal, M. Jeyaseelan, Familial support of rural elderly in indian family system: A sociological analysis , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 31 32 33 34 35 36 37 38 39 40 > >>
You may also start an advanced similarity search for this article.

