COMPUTER-IMPLEMENTED CALCULATION OF CORN HARVEST RECOMMENDATIONS

A computer system and computer-implemented techniques for determining crop harvest times during a growing season based upon hybrid seed properties， weather conditions， and geo-location of planted fields is provided. In an embodiment， determining crop harvest times for corn fields may be accomplished using a server computer system that receives over a digital communication network， electronic digital data representing hybrid seed properties， including seed type and relative maturity， and weather data for the specific geo-location of the agricultural field. Weather data includes temperature， humidity， and dew point for a specified period of days. Using digitally programmed equilibrium moisture content logic within the computer system to create and store， in computer memory， an equilibrium moisture content time series for the specific geo-location that is based upon weather data. The equilibrium moisture content is used to determine the rate of grain dry down because it gives a basis for how strongly water vapor will dissipate from a kernel to open air. Using digitally programmed grain moisture logic of the computer system to calculate and store in computer memory R6 moisture content for a specific hybrid seed based on a plurality of hybrid seed data. Using digitally programmed grain dry down logic of the computer system to create and store in computer memory a grain dry down time series model for the specific hybrid seed at the specific geo-location that represents the estimated moisture content of the kernel over specified time data points. The grain dry down time series is based upon the equilibrium moisture content time series， the estimated R6 date， the estimated R6 moisture content value， and specific hybrid seed properties. Using digitally programmed harvest recommendation logic of the computer system to determine and display a harvest time recommendation for harvesting crop grown from a specific hybrid seed plant based on the grain dry down time series and the desired moisture level of the grower.

本方案提供了一种计算机系统及计算机实现的技术方法，用于在作物生长季内，基于杂交种子特性、天气条件以及种植田地的地理位置（geo-location）确定作物收获时间。在一个实施例中，可通过服务器计算机系统完成玉米田的作物收获时间确定：该系统通过数字通信网络接收代表杂交种子特性（包括种子类型与相对成熟度）的电子数字数据，以及对应农田特定地理位置的天气数据。天气数据涵盖指定天数周期内的温度、湿度与露点温度。计算机系统通过数字化编程的平衡含水率（equilibrium moisture content）逻辑，基于天气数据为该特定地理位置生成并在计算机内存中存储平衡含水率时间序列。平衡含水率可用于确定谷物脱湿（grain dry down）速率，因其为水蒸气从谷粒向开放空气的散发强度提供了依据。计算机系统通过数字化编程的谷物水分逻辑，基于多组杂交种子数据，计算并在计算机内存中存储特定杂交种子的R6含水率。计算机系统通过数字化编程的谷物脱湿逻辑，为该特定地理位置的特定杂交种子生成并在计算机内存中存储谷物脱湿时间序列模型，该模型表征了指定时间数据点上谷粒的估算含水率。该谷物脱湿时间序列基于平衡含水率时间序列、估算的R6发育日期、估算的R6含水率数值以及特定杂交种子特性。计算机系统通过数字化编程的收获推荐逻辑，基于谷物脱湿时间序列与种植者期望的含水率水平，确定并展示针对特定杂交种子种植作物的收获时间推荐方案。