Unmanned aerial vehicle action plan creation system, method and program

An action plan making method for an unmanned aerial vehicle, which is executed by an action plan making system, comprising:

• accepting a designation of a flight region of the unmanned aerial vehicle provided with an aerial shooting device on a map;
• accepting input of a flight purpose making the unmanned aerial vehicle fly in the flight region, wherein the flight purpose comprises at least one of detecting pests attached to harvested crops or detecting lesions of the harvested crops;
• making an action plan comprising a flight plan, serving as a reciprocating route for shooting without intervals in the flight region, and a shooting plan in the flight region of the unmanned aerial vehicle that matches the flight purpose according to an action plan database, the flight region and the purpose wherein the action plan database is a database of the action plan including the flight plan and the shooting plan of the unmanned aerial vehicle, wherein the action plan database is updated by artificial intelligence learning of actual flights;
• controlling flying of the unmanned aerial vehicle and aerial shooting of the aerial shooting device based on the action plan made by the making module;
• and
• detecting a latitude, a longitude and an altitude of a shooting position point of an image of pests or lesions on the harvested crops shot by a camera of the aerial shooting device to grasp a place the pests or lesions occurs;
• wherein the flight plan comprises at least one of a flight route, a flight altitude or a flight speed of the unmanned aerial vehicle for detecting the pests attached to the harvested crops and/or the lesions of the harvested crops in the flight region;
• and
• wherein the shooting plan comprises at least one of a camera angle or a camera resolution of the aerial shooting device for shooting the pests attached to the harvested crops and/or the lesions of the harvested crops in the flight region.

A non-transitory storage medium storing a program, which, when executed by a processor of an action plan making system for an unmanned aerial vehicle, implements an action plan making method for the unmanned aerial vehicle, wherein the method comprises:

• accepting a designation of a flight region of the unmanned aerial vehicle provided with an aerial shooting device on a map;
• accepting input of a flight purpose making the unmanned aerial vehicle fly in the flight region, wherein the flight purpose comprises at least one of detecting pests attached to harvested crops or detecting lesions of the harvested crops;
• making an action plan comprising a flight plan, serving as a reciprocating route for shooting without intervals in the flight region, and a shooting plan in the flight region of the unmanned aerial vehicle that matches the flight purpose according to an action plan database, the flight region and the purpose wherein the action plan database is a database of the action plan including the flight plan and the shooting plan of the unmanned aerial vehicle, wherein the action plan database is updated by artificial intelligence learning of actual flights;
• controlling flying of the unmanned aerial vehicle and aerial shooting of the aerial shooting device based on the action plan made by the making module;
• and
• detecting a latitude, a longitude and an altitude of a shooting position point of an image of pests or lesions on the harvested crops shot by a camera of the aerial shooting device to grasp a place the pests or lesions occurs;
• wherein the flight plan comprises at least one of a flight route, a flight altitude or a flight speed of the unmanned aerial vehicle for detecting the pests attached to the harvested crops and/or the lesions of the harvested crops in the flight region;
• and
• wherein the shooting plan comprises at least one of a camera angle or a camera resolution of the aerial shooting device for shooting the pests attached to the harvested crops and/or the lesions of the harvested crops in the flight region.