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Predicting Wheat Harvest Time Using Satellite Images and Regression Models

机译：使用卫星图像和回归模型预测小麦收成时间

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Cereals have an important role in human food security. Therefore, accurate estimation of harvesting time is necessary to minimize the loss in wheat farming. The objective of this study was to determine wheat harvest time using satellite images accurately. Field data was sampled from the farms in Meiham region of Kordestan province in west of Iran. Also, satellite remote sensing technique was applied during wheat growing season in 2016 using Land-sat 8 images. The vegetation indexes were used as input in prediction model in this study. The results illustrated that satellite imaging has enough potential to predict the harvesting time of wheat accurately. R-squared and RMSE values of the best structured stepwise regression model in this study were 0.785 as well, and 1.13 respectively. This method can beneficially be employed by farm managers to have an accurate estimation of the most appropriate harvesting time and be able to manage the process which is an important challenge for them.
机译：谷物在人类粮食安全中具有重要作用。因此，必须准确估算收割时间，以最大程度地减少小麦种植中的损失。这项研究的目的是使用卫星图像准确确定小麦的收获时间。实地数据是从伊朗西部科尔德斯坦省Meiham地区的农场取样的。此外，卫星遥感技术在2016年小麦生长季节期间使用Land-sat 8影像进行了应用。本研究将植被指数作为预测模型的输入。结果表明，卫星成像具有足够的潜力来准确预测小麦的收获时间。这项研究中最佳结构化逐步回归模型的R平方和RMSE值分别为0.785和1.13。农场管理者可以有利地使用此方法来准确估计最合适的收获时间，并能够管理过程，这对他们来说是一个重要的挑战。

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