System showing the mineral values trees take from the soil

Abstract

The invention is related to a system that can analyze the condition of the soil using image processing and artificial intelligence algorithms and displays the mineral values that trees take from the soil and its characterized by; at least one infrared camera (3) that takes soil images, database (2) where the collected data is recorded, a analysis application (5), which analyzes data collected from infrared cameras (3) and compares it with previous data stored in the database (2), at least one processor (1) containing the artificial intelligence algorithm (6) and an artificial intelligence algorithm (6) to report the soil condition with the help of the collected data.

Description

[0001] SYSTEM SHOWING THE MINERAL VALUES TREES TAKE FROM THE SOIL

[0002] Technical Field:

[0003] The invention is related to a system that can analyze the condition of the soil using image processing and artificial intelligence algorithms and displays the mineral values that trees take from the soil.

[0004] State of the Art:

[0005] It includes obtaining one or more images of a region of an agricultural environment near the treatment system, with the treatment system mountable on an agricultural vehicle and configured to implement a machine learning (ML) algorithm; wherein one or more images are taken from a real -world region where agricultural target objects are expected to be located and one or more parameters are determined by the processing system for use with the ML algorithm; wherein at least one of the parameters is based on one or more ML models for identifying an agricultural object, a real -world target is determined in one or more images by the processing system using the ML algorithm, wherein the ML algorithm is implemented at least in part using : It is the processing of one or more processors of the treatment system and applying a treatment to the target by selectively activating the treatment mechanism according to the target determination result.

[0006] The patent application numbered WO2023063484 describes “Artificial Intelligence- Based Crop Disease and Insect Damage Detection System”. According to an embodiment of the present invention, an artificial intelligence (Al)-based crop disease and insect damage detection system is provided, comprising: a disease and insect damage DB that stores large data about crop diseases and insect damage; an information retrieval unit associated with an application program (Application) used by a user who is a crop grower to receive a crop image captured by the user and planting-related information recorded by the user; disease and insect damage an Al analysis unit that identifies a crop disease and insect damage through Al-based image analysis between a disease and insect damage image for each crop variety stored in the DB and the crop image received from the user; and includes a computing unit that processes information regarding crop disease and insect damage based on the result of disease and insect damage identification through the Al analysis unit.

[0007] The invention mentioned above; pest DB for storing crop pest big data; an information retrieval unit that, in conjunction with an application program used by a user who is a crop grower (Application), receives a crop image captured by the user and cultivation- related information recorded by the user; an Al (Artificial Intelligent) analysis unit that determines crop pests and diseases through artificial intelligence-based image analysis between the pest image for each crop type stored in the pest database and the crop image received from the user; providing an artificial intelligence-based crop pest discrimination system, including: and comprising a computing unit that processes information regarding crop pests based on the result of pest discrimination by the Al analysis unit.

[0008] The patent application numbered US2023118737 describes “Soil Processing Using Image Processing”. A method performed by a processing system mounted on a moving platform, the processing system having one or more processors, a storage, and a processing mechanism, and comprising: taking one or more images of an environment in which the moving platform operates; determining a pose of the moving platform in real time using sensor inputs; identifying one or more target objects by processing one or more images using a machine learning (ML) algorithm; and controlling the treatment mechanism to treat the one or more target objects by directing the treatment mechanism towards the one or more target objects based at least partially on the pose.

[0009] The invention mentioned above; Applications using systems, robots, computer software and systems, computer vision and automation, or a combination of these observe a geographic boundary defined as potential crops with agricultural objects growing one or more plants, each of which can be configured to detect specific agricultural objects. The individual plant and parts of the plant determine that one or more specific individual agricultural objects in a real -world geographic boundary require a treatment based on the growth stage and treatment history from previous observations and treatment, and apply a specific treatment to each.

[0010] As a result, there is a need for a new technology that can overcome the above-mentioned disadvantages and detect soil mineral status using image processing techniques.

[0011] Description of the Invention:

[0012] The invention is a system that shows the mineral values of trees from the soil and its characterized by; It is a new technology that detects soil mineral status using image processing techniques.

[0013] The invention aims to design an indicator that can analyze the condition of the soil thanks to image processing and artificial intelligence algorithms. Thanks to the designed indicator, the soil will be analyzed and thus, which minerals are required are determined and pesticides are applied according to suitability. Over- or under-application of pesticides is prevented and appropriate pesticides are applied. It contributes to the longevity of trees.

[0014] By using infrared cameras connected to the computer and the artificial intelligence algorithm, the artificial intelligence algorithm can analyze and predict the condition of the soil from the data it stores in its database.

[0015] The structural and characteristic features and all the advantages of the product subject to the invention will be more clearly understood thanks to the figures given below and the detailed explanation written by making references to these figures, and therefore the evaluation must be made by taking these figures and the detailed explanation into consideration.

[0016] Description of the Figures: The invention will be described with reference to the accompanying figures, so that the features of the invention will be more clearly understood and appreciated, but the purpose of this is not to limit the invention to these certain regulations. On the contrary, it is intended to cover all alternatives, changes and equivalences that can be included in the area of the invention defined by the accompanying claims. The details shown should be understood that they are shown only for the purpose of describing the preferred embodiments of the present invention and are presented in order to provide the most convenient and easily understandable description of both the shaping of methods and the rules and conceptual features of the invention. In these drawings.

[0017] Figure 1 The subject of the invention is the schematic view of the modules that make up the system.

[0018] The figures to help understand the present invention are numbered as indicated in the attached image and are given below along with their names.

[0019] Description of Reference:

[0020] 1. Processor

[0021] 2. database

[0022] 3. Infrared Camera

[0023] 4. Artificial Intelligence Algorithm

[0024] 5. Analysis Application

[0025] Description of The Invention:

[0026] The basic elements of the system subject to the invention are; They are processor (1), database (2), infrared camera (3), artificial intelligence algorithm (4) and analysis application (5). In the invention, the processor (1) connects the infrared cameras (3), the artificial intelligence algorithm (4) and the analysis application (5), where the processor (1) receives live data from the cameras and uses the artificial intelligence algorithm (4) to check and compare. It includes a database (2) that records data collected from previous analyses and supports an artificial intelligence algorithm (4) with this data to help predict and analyze the soil condition, and an analysis application (5) that analyzes images and videos taken with an infrared camera (3) and compares them with the data in the database (2) to indicate the correct condition of the soil.

Claims

CLAIMS1. The invention is a system that shows the mineral values of trees from the soil; and its characterized by; at least one infrared camera (3) that takes soil images, database (2) where the collected data is recorded, a analysis application (5), which analyzes data collected from infrared cameras (3) and compares it with previous data stored in the database (2), at least one processor (1) containing the artificial intelligence algorithm (6) and an artificial intelligence algorithm (6) to report the soil condition with the help of the collected data.

2. As mentioned in Claim 1, It is a system that shows the mineral values that trees take from the soil, and its characterized by; containing the processor (1) that processes the data received by the infrared camera (3) and compares it with the data in the database (2) and the artificial intelligence algorithm (4).

3. As mentioned in Claim 1, It is a system that shows the mineral values that trees take from the soil, and its characterized by; the analysis application (5) that analyzes the condition of the soil, the artificial intelligence algorithm (4) and the processor (1) that analyzes all data from infrared cameras (3).