兴仁薏仁米农事操作数据

以“产量最大化”“品质最优化”“成本最低化”为核心目标，根据历年不同品种、不同种植参数的产量情况，以产量（kg/亩）、千粒重（kg）、病虫害发生率（%）为因变量，以行距、窝距、穴中心深度、每穴播种子、每穴留苗、施肥等数据为自变量，利用spss软件，控制变量进行数据分析。一是分析种植密度（行距、窝距）和施肥量对提高产量和肥料利用效率的模型，通过曲线回归模型y=ae^(bx+lnx），其中y分别是产量（kg/亩）、千粒重（kg），x是通过行距、窝距计算的种植密度，系数优先使用y=208.55e^(-0.287458x+ln（x））（莫惠栋方程绘图），并结合拟合分析，确定最佳种植密度。二是分析每穴播种子、每穴留苗对提高产量的模型，通过结合行距、窝距、穴中心深度、施肥等数据，采用矩阵分析和分组矩阵，自动确定最优分组数，确定最优种植方式。

This dataset takes 'maximization of yield', 'optimization of quality' and 'minimization of cost' as its core objectives, and conducts controlled-variable data analysis using SPSS software based on historical yield data of different varieties and various planting parameters. The dependent variables for the analysis are yield (kg/mu), 1000-grain weight (kg), and pest and disease incidence rate (%), while the independent variables include row spacing, hole spacing, center depth of planting holes, seeds per hole, retained seedlings per hole, fertilization application, and other relevant parameters. The analysis includes two parts: First, the model linking planting density (row spacing, hole spacing) and fertilization rate to improved yield and fertilizer use efficiency is analyzed, using the curvilinear regression model y=ae^(bx+lnx), where y represents yield (kg/mu) and 1000-grain weight (kg) respectively, and x is the planting density calculated from row spacing and hole spacing. The coefficient formula is preferentially set as y=208.55e^(-0.287458x+ln(x)) (plotted with Mo Huidong's equation), and the optimal planting density is determined through fitting analysis. Second, the model of seeds per hole and retained seedlings per hole for improving yield is analyzed. By combining data such as row spacing, hole spacing, center depth of planting holes and fertilization, matrix analysis and grouped matrices are adopted to automatically determine the optimal number of groups and confirm the optimal planting pattern.

搜集汇总

背景与挑战

背景概述

该数据集包含兴仁薏仁米种植的农事操作数据，旨在通过模型分析优化种植流程，提高产量和资源利用效率。数据规模为11kb，更新周期为年，应用场景包括播种、施肥等操作的精准控制。