Precision Agriculture using Advanced Remote Sensing techniques for peanut crop in Arid Land

Abstract

Precision agriculture involves studying and managing crop variations within fields that can affect crop yield. In precision agriculture farmers are adapting technology and advanced remote sensing techniques with different software to relieve decision making. Hyperspectral ground measurements can be used for giving timely information about crops in specific areas and thereby providing valuable data for decision makers. In this paper field spectroscopy measurements measured by ASD field Spec4 spectroradiometer were used to monitor the spectral response and differences of peanut crop vegetation cover reflectance due to bio-physical plant variables. The results of Tukey’s HSD showed that blue, Red and NIR spectral zones are more sufficient in the monitoring differences between peanut growth stages than green, SWIR-1 and SWIR-2 spectral zones. The results of physiological spectral indices of growth stages showed significant correlations between varied classes productivity and spectral similarity measures, indicating that similarity between the samples' spectra decreases as the pigments concentration in the plant leaves increases. Furthermore, electromagnetic peanut crop mapping was successfully employed to simulate vegetation healthy effect on canopy structure and final yield.

Plant phenotyping relevance

ピーナッツの生育段階、植生被覆、葉色素、樹冠構造、収量を分光計測・スペクトル指標で推定するリモートセンシング手法が研究の中心であり、単なるルーチン測定ではない。

Code and data availability

The paper reports ASD FieldSpec4 hyperspectral measurements of 37 peanut samples and statistical analyses, but contains no data availability statement, no public dataset deposit, and no author code release. The only URLs in the text (agpublications.tamu.edu, pecad.fas.usda.gov) appear in cited references (Stombaugh et 

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