Estimates of failures in the stand and peanut productivity using near infrared
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This research aims to study the use of NIR images for peanut production estimates in three different planting processes (conventional tillage, no-tillage, and planting Rip Strip) relating productivity information with extracted parameters Orthophoto generated by an Air Vehicle No manned (UAV). The images 0.2 cm error range compounds were analyzed in extracts of two central lines launched in all replicates of the various treatments. For each line, 100 linear meters were measured and quantified the existence of faults; subsequently determined the actual planting observed in each treatment and correlated with output in the treatments. planting lines and identified failures were analyzed through the Geographic Information System (GIS) Quantum Gis. The results of the correlation tended to a positive correlation between the failure data and foliar weight and yield, is a positive indicator of the use of the tool for productivity measurements by the NIR. The studies will be repeated in different conditions and variables for an improvement in productivity analysis and estimation
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