The present work study aimed at evaluating the accuracy of the computerized algorithm included in the TaurusWebs ® software, which allows to calculate the percent of crude protein (% CP) in the dry matter of grasses, from images of grasslands taken by a drone with Red Green Blue – RGB- cameras. The %PC measurements calculated by the algorithm were compared to a reference, Near Infrared Reflectance Spectroscopy (NIRS), from the Corpoica (Agrosavia) Laboratory calibrated for grasses. Forty-two samples were taken for NIRS, 18 of high tropic grasses in Cundinamarca: kikuyo, Pennisetum clandestinum; false poa, Holcus lanatus; Brazilian grass, Phalaris arundinacea and 24 from the low tropics in Tolima, Colombia: pangola, Digitaria decumbens; pará, Brachiaria mutica; Bermuda, Cynodon dactylon and coloswana, Bothriochloa pertusa. The results of the NIRS were compared against the evaluations ...

The present work study aimed at evaluating the accuracy of the computerized algorithm included in the TaurusWebs ® software, which allows to calculate the percent of crude protein (% CP) in the dry matter of grasses, from images of grasslands taken by a drone with Red Green Blue – RGB- cameras. The %PC measurements calculated by the algorithm were compared to a reference, Near Infrared Reflectance Spectroscopy (NIRS), from the Corpoica (Agrosavia) Laboratory calibrated for grasses. Forty-two samples were taken for NIRS, 18 of high tropic grasses in Cundinamarca: kikuyo, Pennisetum clandestinum; false poa, Holcus lanatus; Brazilian grass, Phalaris arundinacea and 24 from the low tropics in Tolima, Colombia: pangola, Digitaria decumbens; pará, Brachiaria mutica; Bermuda, Cynodon dactylon and coloswana, Bothriochloa pertusa. The results of the NIRS were compared against the evaluations ...