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Machine Learning Based Soil Fertility Prediction · Peerford

Article · Journal · 2026

Machine Learning Based Soil Fertility Prediction

Madumere Smart Onyemaechi, John Peter Uzoma, Ugo Chima, Bob Chile-Agada, Ihim Kingsley, Odoemene .O Ijeoma

International Journal of Sustainable Social Science (IJSSS)

Open access · Diamond

Read it 10.59890/ijsss.v4i1.179

Citations: 0from other works
Field-weighted impact: 0.001.00 is the world average for its field and year
Among its field: 11th percentileby citations, against works of its field and year
Authors: 6from 1 institution

Authors

6 authors

Madumere Smart OnyemaechiFirst author
- Federal College of Education, Kano (NG)
- Alvan Ikoku Federal University of Education, Owerri (NG)
John Peter Uzoma
- Federal College of Education, Kano (NG)
- Alvan Ikoku Federal University of Education, Owerri (NG)
Ugo Chima
- Federal College of Education, Kano (NG)
- Alvan Ikoku Federal University of Education, Owerri (NG)
Bob Chile-Agada
- Federal College of Education, Kano (NG)
- Alvan Ikoku Federal University of Education, Owerri (NG)
as printed: Bob Chile- Agada

Federal College of Education, Kano (NG)
Alvan Ikoku Federal University of Education, Owerri (NG)

Odoemene .O IjeomaSenior author

Federal College of Education, Kano (NG)
Alvan Ikoku Federal University of Education, Owerri (NG)

Development goals

2Zero hunger

Country

Nigeria

Fields

A work can sit in several, each with a score

Soil Geostatistics and MappingTopic
Smart Agriculture and AITopic
Banana Cultivation and ResearchTopic