Fecha de publicación: 04/05/2020 Fuente: Wipo "precision agriculture" The present invention relates to a forecasting method using a smart precision agricultural forecasting drone system, which comprises the steps of: photographing a farmland by using a drone including at least one of an RGB sensing unit, a chlorophyll sensing unit which can sense a chlorophyll index of plants, a near infrared sensing unit, and a thermal imaging sensing unit; calculating a vegetation index and a chlorophyll index from a reflection rate of each wavelength band obtained by the RGB sensing unit, the chlorophyll sensing unit, and the near infrared sensing unit through a vegetation acquisition unit; analyzing a state information of the photographed farmland based on the calculated vegetation index and chlorophyll index, and determining whether agricultural pesticides and fertilizers are needed; selecting a proper agricultural pesticide or fertilizer when the state of the farmland is determined to be infected by blight and harmful insects or not to have normal growth, selectively classifying the whole area of the photographed farmland into an area to which the agricultural pesticide or fertilizer is to be sprayed, and the other area to which the agricultural pesticide or the fertilizer is not to be sprayed, and determining the amount and concentration of the agricultural pesticide or fertilizer to be sprayed to the selected area; and spraying the agricultural pesticide or fertilizer to the position corresponding to the area, to which the agricultural pesticide or fertilizer is to be sprayed, by using the drone. The forecasting method using a smart precision agricultural forecasting drone system can precisely manage plants in accordance with the state information of plants. COPYRIGHT KIPO 2020