The pinto bean is one of widely consumed legume crop that constitutes over 42%of the U.s dry bean ***,limited studies have been conducted in past to assess its quantitative and qualitative yield *** remote sensing tec...
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The pinto bean is one of widely consumed legume crop that constitutes over 42%of the U.s dry bean ***,limited studies have been conducted in past to assess its quantitative and qualitative yield *** remote sensing technologies can help in such ***,this study evaluates the role of ground-based multispectral imagery derived vegetation indices(VIs)for irrigated the pinto bean stress and yield *** were eight cultivars of the pinto bean grown under conventional and strip tillage treatments and irrigated at 52%and 100%of required *** data was acquired using a five-band multispectral imager at early,mid and late growth *** used 25 broadband VIs were derived to capture crop stress traits and yield *** component analysis and spearman’s rank correlation tests were conducted to identify key VIs and their correlation(rs)with abiotic stress at each growth *** difference vegetation index,nonlinear vegetation index(NLI),modified NLI and infrared percentage vegetation index(IPVI)were consistent in accounting the stress response and crop yield at all growth stages(rs>0.60,coefficient of determination(R2):0.50–0.56,Ps significantly accounted for crop stress at early and late ***,identified key VIs may be helpful to growers for precise crop management decision making and breeders for crop stress response and yield assessments.
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