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
- S. Kumar, M. Santhanalakshmi , R. Navaneethakrishnan, Content addressable memory for energy efficient computing applications , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Nandini S, Nagabushanam M, Nandeesh G S, Sundaresha M P, Pramodkumar S, Segmentation of Brain Tumor from Magnetic Resonance Imaging using Handcrafted Features with BOA-based Transformer , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Rita Ganguly, Dharmpal Singh, Rajesh Bose, The next frontier of explainable artificial intelligence (XAI) in healthcare services: A study on PIMA diabetes dataset , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Vinodini R, Ritha W, Sasitharan Nagapan, An inventory model on the impact of green investment with deteriorating items and planned back orders for economic efficiency and environmental sustainability , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Sowmiya M, Banu Rekha B, Malar E, Assessment of transfer learning models for grading of diabetic retinopathy , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- I.Bhuvaneshwarri, M. N. Sudha, An implementation of secure storage using blockchain technology on cloud environment , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Roopesh K R, Jyothi Y, Manisha Bihani, Chandini C H, Nishanth D R, Maheshkumar Hondale, Sairashmi Samanta, Karthik G, Anu M, Neuroprotective effect of alcoholic extract of Selaginella bryopteris leaves in experimental models of epilepsy , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Santhanalakshmi M, Ms Lakshana K, Ms Shahitya G M, Enhanced AES-256 cipher round algorithm for IoT applications , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- K Sreenivasulu, Sameer Yadav, G Pushpalatha, R Sethumadhavan, Anup Ingle, Romala Vijaya, Investigating environmental sustainability applications using advanced monitoring systems , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Vinodini R, Ritha W, The economic order quantity model for sustainable green inventory considers deterioration impact on the real-time replacement and various reorder points with imperfect quality items , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
<< < 17 18 19 20 21 22 23 24 25 26 > >>
You may also start an advanced similarity search for this article.

