Sustainable Agriculture 25-jild 1-son (2025) · 41-43-betlar

Optimization of Resource Allocation in the Agricultural Sector Using Linear Programming and Python

Abdullaev, Akmal

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Annotatsiya

This study addresses the optimization of resource allocation in the agricultural sector using linear programming techniques. A mathematical model was developed to maximize profit from agricultural production while considering constraints on available resources such as land and water. The model was implemented in Python using the PuLP library, enabling automated problem-solving and precise results. Numerical experiments demonstrated that the proposed model can be effectively applied for decision-making in agriculture. The findings highlight the potential of modern computational tools to enhance the efficiency of agricultural production.

linear programming, resource optimization, sustainable agriculture, Python, PuLP, mathematical modeling.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.

Iqtibos olish

APA 7 
Abdullaev, Akmal (2025). Optimization of Resource Allocation in the Agricultural Sector Using Linear Programming and Python. Sustainable Agriculture, 25(1), 41-43.
GOST R 7.0.5 
Abdullaev, Akmal Optimization of Resource Allocation in the Agricultural Sector Using Linear Programming and Python // Sustainable Agriculture. 2025. Т. 25. № 1. С. 41-43.
BibTeX 
@article{akmal2025,
  author  = {Abdullaev, Akmal},
  title   = {Optimization of Resource Allocation in the Agricultural Sector Using Linear Programming and Python},
  journal = {Sustainable Agriculture},
  year    = {2025},
  volume  = {25},
  number  = {1},
  pages   = {41-43}
}
RIS 
TY  - JOUR
AU  - Abdullaev, Akmal
TI  - Optimization of Resource Allocation in the Agricultural Sector Using Linear Programming and Python
JO  - Sustainable Agriculture
PY  - 2025
VL  - 25
IS  - 1
SP  - 41
EP  - 43
ER  -