EconPapers    
Economics at your fingertips  
 

FACTORS INFLUENCING THE ADOPTION OF INTEGRATED SOIL FERTILITY MANAGEMENT TECHNOLOGIES BY SMALLHOLDER FARMERS IN NAMTUMBO DISTRICT, TANZANIA

Hija Walad Mwatawala () and Estherbella Martin Burian
Additional contact information
Hija Walad Mwatawala: Institute of Rural Development Planning, P. O. box 138, Dodoma, Tanzania1
Estherbella Martin Burian: Institute of Rural Development Planning, P. O. box 138, Dodoma, Tanzania1

Big Data In Agriculture (BDA), 2024, vol. 6, issue 2, 87-92

Abstract: Sub-Saharan African smallholder farmers face two challenges: low production and restricted funding for nutrient inputs. By combining the use of enhanced germplasm, prudent fertiliser use, and organic matter management tailored to the local farming conditions, integrated soil fertility management seeks to increase productivity. This study set out to evaluate determinants for the adoption of integrated soil fertility management technologies by smallholder farmers in Namtumbo district, Tanzania. The design of the study was cross-sectional. Using the random sampling technique, 223 respondents were selected. The study utilised IBM SPSS to analyse both descriptive and inferential statistics. The findings show that almost all farmers adopted the ISFM initiative’s supported technologies, including better-quality seed strains, legume-maize rotation, and maize-legume intercropping. Findings on the determinants for the adoption ISFM knowledge were depicted by a binary logistic regression model whereby variables included in the model were good (Nagelkerke R2 = 0.81) predictors of determinants for adoption of ISFM technologies by farmers. Soil fertility, climatic conditions, education, participation in groups, access to extension services, cost of input and credit access had substantial (p

Keywords: Adoption; Determinants; Smallholder farmer; Soil fertility. (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://bigdatainagriculture.com/paper/issue22024/2bda2024-87-92.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnbda:v:6:y:2024:i:2:p:87-92

DOI: 10.26480/bda.02.2024.87.92

Access Statistics for this article

Big Data In Agriculture (BDA) is currently edited by Dr. Muhammad Azeem Khan

More articles in Big Data In Agriculture (BDA) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).

 
Page updated 2025-05-03
Handle: RePEc:zib:zbnbda:v:6:y:2024:i:2:p:87-92