Abstract: An L-lysine salt of 4-chloro-5-[4-(2.6-dichlorophenyl)sulfonylpiperazin-1-yl]-1-benzofuran-2-carboxylic acid and forms thereof are provided. Also provided are pharmaceutical or veterinary compositions comprising this L-lysine salt and their use for treating a number of diseases.

Abstract: An L-lysine salt of 4-chloro-5-[4-(2,6-dichlorophenyl)sulfonylpiperazin-1-yl]-1-benzofuran-2-carboxylic acid and forms thereof are provided. Also provided are pharmaceutical or veterinary compositions comprising this L-lysine salt and their use for treating a number of diseases.

Abstract: Computer-implemented method for providing corrected plant-related index data, comprising the steps of: providing initial plant-related index data for an agricultural field, preferably based on at least one satellite image; and correcting the initial plant-related index data for the agricultural field at least based on historical plant-related index data for the agricultural field and providing corrected plant-related index data.

Abstract: The present invention relates to a system and a method for operating a treatment device (120) applying a treatment product to an agricultural area, the method comprising: obtaining (S210) at least one dataset of an area of interest within the agricultural area (110) to a control system (12.10); determining (S220), by the control system (12.10), from the at least one dataset a plant indicator, wherein a basic threshold for triggering application of the treatment product is dynamically adjustable in relation to the plant indicator; and providing a control signal (S230), by the control system, to control the treatment device (120) based on the determined plant indicator and the threshold for triggering application of the treatment product.

Abstract: The present invention relates to a method for treatment of an agricultural field, the method comprising the steps: 1) receiving (S10) a parametrization (10) for controlling a treatment device (200) by the treatment device (200) from a field manager system (100); 2) receiving (S20) from at least one soil sensor (400) real-time soil information on the real-world situation of the geographical location G1 in the agricultural field; 3) processing (S30) the real-time soil information to generate processed information (30), 4) determining (S40) a control signal (50) for controlling a treatment arrangement (270) of the treatment device (200) based on the received parametrization (10) and the processed information (30), 5) executing (S50) a treatment on the geographical location G2 in the agricultural field, wherein the treatment is executed based on the control signal (50) real-time after receiving the real-time soil information in such a way that the distance between location G1 and location G2 does not exceed 100 m

Abstract: A computer-implemented method for generating an application map for treating a field with an agricultural equipment comprising the following steps: a) providing a land cover map relating to a field to be treated; b) receiving master data selected from the group consisting of: regulatory data, machine data, field data, elevation data, c) optionally initiating the determination of, and/or determining preliminary buffer zones as a further layer to the land cover map based on the master data, d) optionally receiving validation information selected from the group consisting of: (i) validation information relating to the field to be treated or relating to the land cover map, (ii) validation information relating to master data selected from the group consisting of regulatory data, machine data, field data, elevation data, and (iii) validation information relating to preliminary buffer zones, e) initiating the determination of, and/or determining buffer zones as a further layer to the land cover map based on the mast

Abstract: A method for correcting remote sensor data of an agricultural field, the method comprising the following steps: receiving remote sensor data (DR) for the agricultural field from a remote sensor, wherein the remote sensor data (DR) comprises at least one remote measurement value corresponding to at least one location that is measured by the remote sensor at at least one point in time of obtaining the remote measurement value; receiving local sensor data (DL) for the agricultural field from at least one local sensor, wherein the at least one local sensor data (DL) comprises at least one local measurement value corresponding to at least one location of the at least one local sensor and corresponding to at least one point in time of obtaining the local measurement value correlating to the location and point of time of obtaining the remote measurement value; determining a correction model based on the previously received local sensor data (DL) and the previously received remote sensor data (DR); and determining co