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.

Land evaluation of different land cover classes for agricultural use in south east of Egypt using remote sensing data

“…The FAO-Land Cover Classification System (LCCS) was used for mapping many desert areas in Egypt (Afify, 2009;Afify et al, 2022;Arafat et al, 2014b;Sheta et al, 2016). Remote sensing imagery (RS) have been used widely for mapping crops (Elsharkawy et al, 2016a(Elsharkawy et al, , 2016bFarg et al, 2020). Satellite sensors produce imageries of high spatial features in a fast, precise and low-cost data over large areas for mapping soil and water quality, compared with classic techniques.…”

Mapping Aquifer Water Quality in the Western Fringes of Beni-Suef Governorate for Sustainable Agriculture

“…These indicators help by converting irrigation water quality data into management maps for decision makers (Simsek and Gunduz, 2007) and stakeholders in handling issues related to the soil environment and irrigation water management (Abbasnia et al, 2019). Geospatial methods, inclusive remotely sensed imagery (RS) and Geographic Information System (GIS) techniques are accurate tools, which have been widely utilized for map ping crops (El-Sharkawy et al, 2016, 2013El-Sharkawy, 2016;Farg et al, 2020), assessing land use/cover (Arafat et al, 2014;Elsharkawy et al, 2022a;Nabil et al, 2022), soil and water quality (Abdel Rahman et al, 2022;AbdelRahman et al, 2022;Elsharkawy et al, 2022b;Saleh et al, 2021). Satellite imageries provide an ideal characterization of high spatial features in a quick, accurate, reliable, harmonious with low cost significantly over large regions compared with classic techniques (Boori et al, 2021).…”