Citriculture activity is important for the Brazilian economy due to its expressive participation on exporting and for the generation of a number of job positions. Manual harvesting is currently predominant. Routine generation of yield mapping for citrus is necessary for implementing precision agriculture practices, what justifies efforts for developing techniques for data collection. The objective of this research was to promote the correct understanding of the variations on harvesting systems, their useful characteristics and limitations, also propose and test a methodology for collecting data to attain yield maps without interfering in the process. A population of big bags was weighed checking the estimated weight by the manager responsible for the payment of the workers. Finally all the big bags of a field were georeferenced, allowing for the calculation of the representative individual area from the constant strip width and distance between bags. From the area and mass of each bag the productivity was determined and the yield map was generated after interpolating the data. The estimation of mass was considered acceptable and the method is considered simple and efficient for collection of data and generation of yield maps.
orange; precision agriculture; yield map
