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.
Highlights
Precision Agriculture is an environment helpful system solution that optimizes production quality and quantity while lowering cost of inputs (Blackmore, 1999; Stombaugh, et al, 2001)
The current study mainly focus on using advanced remote sensing techniques on the geo-referenced site specific or precision agriculture practices by determining whether peanut pigments, chlorophyll, carotenoids, anthocyanin’s and water content can be discriminated based on their spectral characteristics, by establishing a relationship be
The study area represented by one pivot within area about 67 hectares, cultivated with peanut crop and irrigated by center pivot system using Nile River water that characterized by Total Dissolved Salts (TDS) of 544 mgL-1 as it shown in Figure (1)
Summary
Precision Agriculture is an environment helpful system solution that optimizes production quality and quantity while lowering cost of inputs (Blackmore, 1999; Stombaugh, et al, 2001). Remote sensing can be used as a quick and minimizing cost tool in precision agriculture. One of the most important retrieved information from remote sensing are the vegetation indices derived from multispectral data, which have been extensively used for monitoring and detecting vegetation and land cover changes (Liu and Kafatos, 2005; Aparicio et al 2002). A multispectral data is processed into a limited number of bands. The barrier of limitation of multispectral data is broken with hyperspectral data, which allows accurate and potential use of entire range of electromagnetic spectrum recorded in extremely narrow wavebands. VNIR bands along with Yellow Edge, and Red Edge bands can be used to identify different types of crops, crop health, various kinds of stresses, weeds, biomass, LAI, and other parameters that can be used for precision agriculture applications including site specific pesticide and fertilizer applications, smart or directed soil
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