APPLICATION OF HYPERSPECTURAL IMAGES AND GROUND DATA FOR PRECISION FARMING
APPLICATION OF HYPERSPECTURAL IMAGES AND GROUND DATA FOR PRECISION FARMING
复制标题
高光谱图像和地面数据在精准农业中的应用
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
M. Zimin
中科院分区：
文献类型：
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作者：
Y. Akhtman;E. Golubeva;O. Tutubalina;M. Zimin
作物和其他植物一样，对自然和人为因素（除草剂、杀虫剂、肥料等）的各种变化有明显的反应，其影响植物体的量、其分数组成以及植物的发育和生理状态，并因此反映在光谱图像中。关于植物光谱特征的数据使用户能够迅速和高度可靠地确定农作物状况的各种指标，从而提高农业技术做法和土地资源利用的效率，并促进精确耕作概念的实施。植物（因此作物）的反射特性携带了大量关于物种、发育阶段和形态生理状态的有意义的信息，允许确定光谱特征和时间生理参数之间的相互关系。本文介绍了2016年春季和夏季俄罗斯南部和中部试验田冬小麦和玉米状况的监测结果。
Crops, like other plants, clearly react to various changes in both natural and anthropogenic factors (herbicides, pesticides, fertilizers, etc.), which affects the amount of phytomass, its fractional composition, and developmental and physiological state of the plant, and, accordingly, is reflected in the spectral image. Data on spectral characteristics of plants allow users to determine quickly and with a high degree of reliability various indicators of the state of agricultural crops and thus improve the efficiency of agrotechnical practices and the use of land resources and facilitate the implementation of the precision farming concept. Reflective properties of plants (and hence crops) carry a large amount of meaningful information about the species, stage of development, and morpho-physiological state, allowing determination of the interrelations between the spectrometric characteristics and temporal physiological parameters. The paper presents the results of monitoring of the state of winter wheat and corn in experimental fields in southern and central Russia in the spring and summer of 2016.