Identification of beneficial insects and/or pollutants in a field for crop plants

Patent metadata

Field	Value
Publication number	US-2020037596-A1
Application number	US-201716339418-A
Country	US
Kind code	A1
Filing date	Sep 29, 2017
Priority date	Oct 7, 2016
Publication date	Feb 6, 2020
Grant date	—

Abstract

The present invention relates to the identification of beneficial insects and/or harmful organisms in a field for crop plants.
The presence of a species in the field is captured by one or more sensors. One or a plurality of suggestions is/are generated as to which species it could be. Based on one or more models, the probability that the detected species could be a proposed species is calculated in each case. The site at which the species is detected, the detection time and preferably further parameters that affect the presence of the proposed species in the field are included in a model. The expressive capacity of the sensor or sensors is increased by means of the modeling.

First claim

1 - 15 . (canceled)

16 . A method comprising the steps of:
detecting a species to be identified with a sensor in a field in which crop plants are cultivated, generating at least one species suggestion for the detected species to be identified, determining the location of the sensor and/or the detected species to be identified, calculating the probability of occurrence of the at least one species suggestion in the field using a model in which the location of the sensor and/or the detected species to be identified and the time of detection are included.

17 . The method according to claim 16 , wherein the species to be identified is a harmful organism.

18 . The method according to claim 17 , wherein the species to be identified is a pathogen whose presence is indirectly detected.

19 . The method according to claim 17 , wherein the species to be identified is an animal pest whose presence is directly detected.

20 . The method according to claim 16 , wherein in the calculation of the probability, in addition to the detection site and time, one or more of the following parameters is included:
temperature, sunshine duration, wind speed, precipitation, development stage of the crop plant, plant protection measures already carried out.

21 . The method according to claim 16 , wherein the sensor is a sensor for electromagnetic radiation.

22 . The method according to claim 16 , wherein the sensor is an imaging sensor.

23 . The method according to claim 16 , wherein the sensor is a LiDAR sensor, a hyperspectral sensor, an RBG sensor and/or a thermography sensor.

24 . The method according to claim 16 , wherein the at least one species suggestion, together with the probability that the detected species is the species suggestion, is indicated to a user.

25 . The method according to claim 16 , wherein those species suggestions are indicated to a user for which the calculated probability lies above a minimum probability.

26 . The method according to claim 16 , wherein a species suggestion is indicated together with a recommendation for action.

27 . The method according to claim 16 , wherein the sensor is part of a self-learning system and the calculated probability is used to improve the predictive capacity of the system.

28 . A computer program product comprising a data carrier on which a computer program is stored, which can be loaded into the working memory of a computer and causes the computer system to carry out the following steps:
receiving at least one suggestion for a species to be identified whose presence has been detected by at least one sensor in a field for crop plants, receiving the location of the at least one sensor and/or the site at which the detected species was located at the time of detection, calculating the probability that the detected species is the suggested species, wherein a model is used for calculating the probability in which the location of the sensor and/or the detected species and the time of detection are included.

29 . A system comprising
at least one sensor for detecting the presence of a species to be identified in a field for crop plants, means for generating a suggestion for the species detected by the at least one sensor, means for determining the location of the at least one sensor and/or the site at which a species was located at the time of detection by the at least one sensor, a computer system configured to calculate a probability that the detected species is the suggested species, wherein a model is used for calculating the probability in which the location of the sensor and/or the detected species and the time of detection are included.

30 . The system according to claim 29 , comprising
a first computer system and a second computer system, wherein the first computer system is connected to the at least one sensor and is configured such that it generates at least one species suggestion on the basis of the signals detected by the at least one sensor and transmits the at least one species suggestion, to the second computer system, wherein the second computer system has at least one prediction model and is configured such that it can receive the at least one species suggestion, and based on the at least one prediction model, can determine the respective probability that a suggested species is the detected species, wherein the second computer system is optionally configured such that it can indicate the respective calculated probability to a user and/or transmit it to the first computer system and/or indicate to a user a recommendation for action, and wherein the first computer system is optionally configured such that it can receive the respective calculated recommendation for action from the second computer system and preferably indicate it to a user.

31 . The method according to claim 16 , wherein a species suggestion is indicated together with a recommendation as to how the species can be controlled if said species is a harmful organism.

32 . The system according to claim 29 , comprising
a first computer system and a second computer system, wherein the first computer system is connected to the at least one sensor and is configured such that it generates at least one species suggestion on the basis of the signals detected by the at least one sensor and transmits the at least one species suggestion, together with the information on the detection site and/or the detection time, to the second computer system, wherein the second computer system has at least one prediction model and is configured such that it can receive the at least one species suggestion, and information on the detection site and/or the detection time, and based on the at least one prediction model, can determine the respective probability that a suggested species is the detected species, wherein the second computer system is configured such that it can indicate the respective calculated probability to a user and/or transmit it to the first computer system and/or indicate to a user a recommendation for action, and wherein the first computer system is configured such that it can receive the respective calculated recommendation for action from the second computer system and preferably indicate it to a user, together with recommendations for action, and/or can use it to improve the generation of species suggestions.

Assignees

• Basf Agro Trademarks Gmbh

Inventors

• Peters Ole
• Johnen Andreas
• Tackenberg Maria

Classifications

• G06Q50/02

  Agriculture; Fishing; Forestry; Mining · CPC title

• A01M1/026 Primary

  combined with devices for monitoring insect presence, e.g. termites (bait stations A01M1/2005; detecting other animals in a given area A01M31/002) · CPC title

• A01M21/00

  Apparatus for the destruction of unwanted vegetation, e.g. weeds (control of undesirable vegetation on roads or permanent ways of railways E01H11/00) · CPC title

• A01M7/0089

  Regulating or controlling systems (the delivery being related to the movement of a vehicle B05B9/06) · CPC title

• G01S17/89

  for mapping or imaging · CPC title