在我国的华北山区,耕地类型多样且分布零散、农作物种植种类多,因此合理选种与优化种植可提升管理效率,减少各种不确定因素可能造成的种植风险。建立以农作物种植的时空限制为约束条件,销售利益为目标函数的线性规划模型,利用此模型,可得出不同销售情况下各地域的时空演变趋势和最佳种植方案,实现各类作物种植结构最优化,可为山区农业可持续性发展提供方向,对实现农业资源可持续利用具有重要意义。In the mountainous areas of North China, there are diverse types of cultivated land that are scattered, and a wide variety of crops are planted. Therefore, rational selection of seeds and optimization of planting can improve management efficiency and reduce planting risks that may be caused by various uncertain factors. A linear programming model is established with the temporal and spatial constraints of crop planting as the constraint conditions and sales profit as the objective function. By using this model, the temporal and spatial evolution trends of different regions under different sales situations and the optimal planting plan can be obtained, realizing the optimization of the planting structure of various crops. This can provide a direction for the sustainable development of mountainous agriculture and is of great significance for the sustainable utilization of agricultural resources.
在当前全球变暖的趋势下,农作物长势遥感监测一直备受关注。及时准确地掌握各种农作物种植面积和空间分布,对于制定农业政策,保障粮食安全具有重要意义。尤其是东北地区,作为全国重要的商品粮生产基地,在有关农业遥感系统中,分析农作物中的种质结构是极其关键的一步。由于农作物种植结构是一种基础数据,它对于提高耕地的利用效率,保障粮食安全,优化东北地区农业种植结构具有重大意义。本文选取了东北地区黑龙江省饶河县作为研究区域,以2000年至2020年可利用的遥感影像为数据源,选取主要农作物玉米、水稻、大豆作为研究对象,对农作物种植结构的时空变化进行分析研究。Under the current trend of global warming, remote sensing monitoring of crop growth has been attracting much attention. It is of great significance to grasp the planting area and spatial distribution of various crops in a timely and accurate manner for formulating agricultural policies and ensuring food security. In particular, the Northeast region, as an important commercial grain production base in the country, is an extremely critical step in the relevant agricultural remote sensing system to analyze the planting structure of crops. Since crop planting structure is a kind of basic data, it is of great significance to improve the utilization efficiency of cultivated land, ensure food security, and optimize the agricultural planting structure in Northeast China. In this paper, we selected Raohe County, Heilongjiang Province in Northeast China as the research field, and used the available remote sensing images from 2000 to 2020 as the data source, and selected the main crops maize, rice, and soybean as the research objects to analyze and study the temporal and spatial changes of crop planting structure.
