Gupta, Dileep KumarPrasad, RajendraKumar, PradeepSrivastava, Prashant K.2025-01-272025-01-272022978-012823457-0; 978-012823594-2https://dl.bhu.ac.in/ir/handle/123456789/14803This study is designed to explore the potential of ?� and fuzzy logic algorithms for the accurate retrieval of kidney bean crop variables at innumerable growth stages using ground-based multiangular, multitemporal, and dual-polarized bistatic scatterometer data. The bistatic radar system may be a better choice for retrieving crop growth variables than a monostatic radar system because of its great advantages The transmitter and receiver are set opposite each other or in different azimuthal configurations in the case of a bistatic scatterometer system. For this purpose, an outdoor kidney bean crop bed of 4�4m2 was specially prepared near the Department of Physics, Indian Institute of Technology (BHU), Varanasi, India. Bistatic scatterometer measurements are accomplished at innumerable growth stages of the kidney bean crop for incidence angle of 20 to 70 degrees at horizontal transmit�horizontal receive (HH) and vertical transmit�vertical receive (VV) polarization in the specular direction at an azimuthal angle (?=0). Kidney bean crop variables such as the vegetation water content, leaf area index, and plant height measurements are also taken at the time of each bistatic scatterometer measurement. The sensitivity of bistatic scattering coefficients at HH and VV polarization with the kidney bean crop variable is evaluated using Pearson correlation analysis to retrieve kidney bean crop variables. The higher sensitivities of ?� with the kidney bean crop growth variables are at 50 and 40 degrees incidence angles for HH and VV polarizations, respectively. The ?� does not exhibit severe saturation effects when the crops are mature and has better sensitivity to crop growth variables. The retrieved values of crop growth variables by fuzzy inference system are close to the in situ values of crop growth variables. Outcomes of this study are beneficial for the scientific community for making policy decisions regarding food security and environmental issues. � 2022 Elsevier Inc. All rights reserved.Bistatic scatterometer systemCorrelation testCrop variablesFuzzy logicPolarizationFuzzy logic for the retrieval of kidney bean crop growth variables using ground-based scatterometer measurementsBook chapterhttps://doi.org/10.1016/B978-0-12-823457-0.00015-X