The goal of the current study was to assess how well Uttar Pradesh farming households engaged in an integrated crop and animal production system use agricultural resources. The primary goal of research carried out in 2024 was to assess how best to allocate crop resources using Sen's multi-objective programming (MOP) technique to maximise revenue, create jobs and reduce input consumption in Sultanpur district of Uttar Pradesh. To achieve the intended representation, the region was purposefully chosen and 300.00 houses were chosen at random for the sample. The MOP model was used to determine the best combination of livestock and agricultural activities given the present resource constraints. A sample farmer with 1.75 ha of land earned an average of ₹34897400 annually, according to the results. However, by reallocating resources in accordance with the optimal plan, agricultural revenue might rise by 14.24 %, to ₹398652.00 annually. The findings showed a large reallocation of land to more profitable crops, particularly gram and rice. It was recommended that the paddy area increase from 0.54 ha to 1.35 ha and the cultivated area under gram increase from 0.14 ha to 1.27 ha to increase overall yields. Increasing the number of cattle is advised by the study since it can greatly improve dairy revenue and overall farm profitability under the integrated farming method.
