公开(公告)号：WO2022200601A1

公开(公告)日：2022-09-29

申请号：PCT/EP2022/057986

申请日：2022-03-25

Applicant: BASF SE

Inventor： RAMIREZ HERNANDEZ, Tzutzuy ,  BEADLE, Andrew David ,  HAERING, Tim ,  MORAN PUENTE, Diana Westfalia ,  PERI, Venkata Ramana ,  PRIESE, Benjamin

IPC: G06Q50/02 ,  G06Q10/06

Abstract: A computer-implemented method for determining a treatment schedule for treating an agricultural field, comprising the following steps: (step A1) receiving by the computing unit – from a database and/or from user input and/or from real-time measurements –- crop data relating to the crop(s) planted or to be planted in the field(s) or sub-field zone(s) and indicative of at least one crop parameter, and- field data relating to the field(s) or sub-field zone(s) and indicative of at least one field environment parameter and/or field farming parameter, and- soil data relating to the field(s) or sub-field zone(s) and indicative of at least one soil-carbon parameters and/or soil-physical parameter,- optionally regulatory data relating to the field(s) or the sub-field zone(s),(step A2) at least based on the crop data, and the field data, and the soil data, generating a soil-related sustainability score for a field or a sub-field zone using a scoring model, wherein the scoring model is dependent on the following parameter groups:(PG1) crop parameter(s),(PG2) soil-carbon parameter(s), and/or soil-physical parameter(s), and(PG3) field environment parameter(s), and/or field farming parameter(s), (step A3) determining at least one treatment schedule based on the generated soil-related sustainability score.

公开(公告)号：WO2022058535A1

公开(公告)日：2022-03-24

申请号：PCT/EP2021/075682

申请日：2021-09-17

Applicant: BASF SE

Inventor： HAERING, Tim ,  MERTENS, Dietrich

IPC: A01B79/00 ,  A01C21/00 ,  A01M7/00

Abstract: A computer-implemented method for providing at least one migration risk index, comprising the steps: providing soil data for a location, comprising at least information on the soil composition at that location (S10); providing weather data for said location, comprising at least historical precipitation data for said location (S20); providing a soil mobility model for a product, wherein the soil mobility model is configured to calculate migration data of the product at said location depending on the soil data and the weather data (S30); and determining at least one migration risk index based on the migration data and being representative of a risk that said product migrates down to a lower soil layer at said location (S40).

公开(公告)号：EP4213608A1

公开(公告)日：2023-07-26

申请号：EP21778434.7

申请日：2021-09-17

Applicant: BASF SE

Inventor： HAERING, Tim ,  MERTENS, Dietrich

IPC: A01B79/00 ,  A01C21/00 ,  A01M7/00

公开(公告)号：EP4250250A1

公开(公告)日：2023-09-27

申请号：EP22164121.0

申请日：2022-03-24

Applicant: BASF SE

Inventor： PRIESE, Benjamin ,  KARAMI, Mojtaba ,  GEDMINAS, Laurynas ,  HAERING, Tim ,  DOERR, Manuel Josua ,  BOEHM, Julian ,  PFRANG, David ,  CHRIST, Thomas

IPC: G06V20/10

Abstract: The present invention generally relates to digital farming. In order to facilitate the provision of sensor data with a high spatial coverage, a computer-implemented method (100) is provided for training a data-driven model for measuring a concentration of a physicochemical parameter from a target field, the method comprising:
a) providing (110) historical satellite imagery data collected from at least one field over a period of time;
b) providing (120) historical sensor data collected from the at least one field, wherein the historical sensor data provides a measurement or an estimation of the concentration of the physicochemical parameter over the period of time; and
c) training (130) the data-driven model with a training dataset based on the provided historical satellite imagery data and the historical sensor data, wherein the trained data-driven model is usable as a soft-sensor for measuring a concentration of the physicochemical parameter from the target field based on satellite imagery data acquired from the target field.