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首页> 外文期刊>Journal of Plant Nutrition >BY-PLANT PREDICTION OF CORN GRAIN YIELD USING OPTICAL SENSOR READINGS AND MEASURED PLANT HEIGHT
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BY-PLANT PREDICTION OF CORN GRAIN YIELD USING OPTICAL SENSOR READINGS AND MEASURED PLANT HEIGHT

机译：利用光学传感器读数和测得的植物高度预测玉米谷物的产量

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摘要

Indirect sensor-based measurements have made on-the-go by-plant recognition possible. This in turn has enabled high resolution by-plant management. The objective of this study was to estimate final grain yield of each corn (Zea mays L.) plant by collecting the normalized difference vegetation index (NDVI), plant height, and distance between plants at the 8-leaf growth stage (V8). The NDVI readings were collected every 1.2 cm in rows 15 to 30 m in length, and average NDVI per plant was calculated by assuming each plant occupied half the distance between it and its neighbors and calculating an average NDVI value within that respective area. First, an equation was developed to calculate the distance occupied by each plant. Then plant height was used in an equation to estimate competition among plants. A combined model employing plant height, area occupied, and NDVI were used to successfully predict by-plant corn grain yields at V8.
机译：基于传感器的间接测量使得在工厂中进行实时识别成为可能。这反过来又实现了高分辨率的分厂管理。这项研究的目的是通过收集归一化差异植被指数（NDVI），植物高度和8叶片生长期（V8）的植物之间的距离来估计每株玉米（Zea mays L.）的最终谷物产量。每15到30 m长的行中每1.2厘米收集一次NDVI读数，通过假设每棵植物占据其与邻居之间距离的一半并计算该区域内的平均NDVI值来计算每棵植物的平均NDVI。首先，开发了一个方程来计算每个植物所占的距离。然后将植物高度用于方程式中，以估计植物之间的竞争。使用植物高度，占有面积和NDVI的组合模型成功预测了V8时的副厂玉米籽粒产量。

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