Determination of Factors Affecting Net Profit in Buffalo Milk Production by Different Data Mining Algorithms: A Case Study of Iğdır Province

Köksal Karadaş; Osman Doğan Bulut; Hakan Duman

Makale detayları

Determination of Factors Affecting Net Profit in Buffalo Milk Production by Different Data Mining Algorithms: A Case Study of Iğdır Province

Yazarlar:

Köksal Karadaş | Osman Doğan Bulut | Hakan Duman

Yayıncı:

Mevlüt AKÇURA

Ana Başlıklar:

Agricultural Economics (Other)

Dergi:

Turkish Journal of Agricultural and Natural Sciences Vol.12 Issue 3, pp.640-652

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001355260

pISSN:

2148-3647

Anahtar kelimeler:

Özet:

 Buffalo milk is an important animal product because it has more protein and fat content compared to other types of milk. This study aimed to identify the key factors influencing profitability in buffalo milk production using advanced data mining algorithms. Data were collected from 92 buffalo farms in Iğdır Province, Türkiye, in 2016 by using the Simple Random Sampling Method. Among the 4 models developed in the R program, the Multivariate Adaptive Regression Splines MARS model demonstrated superior predictive performance based on cross-validation and goodness-of-fit criteria. The results revealed that lactation year LY and lactation period LP were the most significant variables affecting net profit. Profitability was highest in the seventh lactation year, while extending the lactation period beyond 175 days contributed to linear profit increases. The findings suggest that buffalo producers should adopt management strategies focused on culling buffaloes after the seventh lactation and extending lactation periods to improve economic outcomes. This research highlights the effectiveness of data mining techniques in determining profitability factors and provides recommendations to optimize production efficiency in livestock systems. In future research, more comprehensive models can be developed using larger datasets and additional variables.

 Buffalo milk is an important animal product because it has more protein and fat content compared to other types of milk. This study aimed to identify the key factors influencing profitability in buffalo milk production using advanced data mining algorithms. Data were collected from 92 buffalo farms in Iğdır Province, Türkiye, in 2016 by using the Simple Random Sampling Method. Among the 4 models developed in the R program, the Multivariate Adaptive Regression Splines MARS model demonstrated superior predictive performance based on cross-validation and goodness-of-fit criteria. The results revealed that lactation year LY and lactation period LP were the most significant variables affecting net profit. Profitability was highest in the seventh lactation year, while extending the lactation period beyond 175 days contributed to linear profit increases. The findings suggest that buffalo producers should adopt management strategies focused on culling buffaloes after the seventh lactation and extending lactation periods to improve economic outcomes. This research highlights the effectiveness of data mining techniques in determining profitability factors and provides recommendations to optimize production efficiency in livestock systems. In future research, more comprehensive models can be developed using larger datasets and additional variables.

 Buffalo milk is an important animal product because it has more protein and fat content compared to other types of milk. This study aimed to identify the key factors influencing profitability in buffalo milk production using advanced data mining algorithms. Data were collected from 92 buffalo farms in Iğdır Province, Türkiye, in 2016 by using the Simple Random Sampling Method. Among the 4 models developed in the R program, the Multivariate Adaptive Regression Splines MARS model demonstrated superior predictive performance based on cross-validation and goodness-of-fit criteria. The results revealed that lactation year LY and lactation period LP were the most significant variables affecting net profit. Profitability was highest in the seventh lactation year, while extending the lactation period beyond 175 days contributed to linear profit increases. The findings suggest that buffalo producers should adopt management strategies focused on culling buffaloes after the seventh lactation and extending lactation periods to improve economic outcomes. This research highlights the effectiveness of data mining techniques in determining profitability factors and provides recommendations to optimize production efficiency in livestock systems. In future research, more comprehensive models can be developed using larger datasets and additional variables.

 Buffalo milk is an important animal product because it has more protein and fat content compared to other types of milk. This study aimed to identify the key factors influencing profitability in buffalo milk production using advanced data mining algorithms. Data were collected from 92 buffalo farms in Iğdır Province, Türkiye, in 2016 by using the Simple Random Sampling Method. Among the 4 models developed in the R program, the Multivariate Adaptive Regression Splines MARS model demonstrated superior predictive performance based on cross-validation and goodness-of-fit criteria. The results revealed that lactation year LY and lactation period LP were the most significant variables affecting net profit. Profitability was highest in the seventh lactation year, while extending the lactation period beyond 175 days contributed to linear profit increases. The findings suggest that buffalo producers should adopt management strategies focused on culling buffaloes after the seventh lactation and extending lactation periods to improve economic outcomes. This research highlights the effectiveness of data mining techniques in determining profitability factors and provides recommendations to optimize production efficiency in livestock systems. In future research, more comprehensive models can be developed using larger datasets and additional variables.

Makale detayları

Determination of Factors Affecting Net Profit in Buffalo Milk Production by Different Data Mining Algorithms: A Case Study of Iğdır Province

Yazarlar:

Köksal Karadaş | Osman Doğan Bulut | Hakan Duman

Yayıncı:

Mevlüt AKÇURA

Ana Başlıklar:

Agricultural Economics (Other)

Dergi:

Turkish Journal of Agricultural and Natural Sciences Vol.12 Issue 3, pp.640-652

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001355260

pISSN:

2148-3647

Buffalo milk

Net profit

Data Mining Algorithms

Iğdır province

Sayı

Makale detayları

Determination of Factors Affecting Net Profit in Buffalo Milk Production by Different Data Mining Algorithms: A Case Study of Iğdır Province

Yazarlar: Köksal Karadaş | Osman Doğan Bulut | Hakan Duman

Yayıncı: Mevlüt AKÇURA

Ana Başlıklar: Agricultural Economics (Other)

Dergi: Turkish Journal of Agricultural and Natural Sciences Vol.12 Issue 3, pp.640-652

Belge Tipi: Makale

Yayın Tarihi: 7/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001355260

pISSN: 2148-3647

Buffalo milk

Net profit

Data Mining Algorithms

Iğdır province

Sayı

Yazarlar:

Köksal Karadaş | Osman Doğan Bulut | Hakan Duman

Yayıncı:

Mevlüt AKÇURA

Ana Başlıklar:

Agricultural Economics (Other)

Dergi:

Turkish Journal of Agricultural and Natural Sciences Vol.12 Issue 3, pp.640-652

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001355260

pISSN:

2148-3647