An Agricultural Network Production and Marketing Strategy Based on Evolutionary Simulated Annealing and Greedy Algorithm

In the decisive year of building of a moderately prosperous society in all respects, the state proposed to build a “three-in-one” pattern of poverty alleviation and targeted poverty alleviation in accordance with local conditions in poverty-stricken counties. First of all, the problem of food and clothing in the countryside needs to be solved. Some crops of high economic value should be planted. Depending on the situation of different regions, the regression model is used to set up high-level indexes to score different plants, select suitable crops and then carry out planting planning according to simulated annealing algorithm to maximize the utilization of rural land. Secondly, to make the countryside rich, we need to develop our own characteristic products. At the same time, in order to avoid the problem of “depreciating land price by itself”, we need to make use of the current popular live broadcast to improve the popularity. According to the obtained data, different network platforms are scored and the greedy algorithm is used to select the optimal measurement standard and the optimal investment scheme is obtained through the classification processing of the optimal solution, so as to realize the application of mathematical modeling in the targeted poverty alleviation work.