This project, developed for Hektaş TİC. T.A.Ş., uses PYTHON-JAVASCRIPT-MACHINE LEARNING-SELENIUM-MONGODB for data extraction, saving, NDVI value calculation, crop prediction with the KNN machine learning algorithm, database operations, and automation of all systems. It offers features such as determining which crop is grown in a parcel, parcel analysis, temporal analysis, filtering, etc., using satellite images and parcel NDVI values with artificial intelligence. Data is displayed via API from Sentinel Hub.

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Python is a programming language. It was developed in the early 90s by a Dutch programmer named Guido Van Rossum. He named this programming language after the British comedy group Monty Python’s show, Monty Python’s Flying Circus. Compared to many programming languages, it is easy to learn. Therefore, if you have never programmed before, you may prefer to start your programming journey with Python. In this project, I met all my needs except for the front-end using Python.

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MongoDB is an open-source NoSQL database developed in 2009. In recent years, with the incredible growth and exponential increase of data, NoSQL has emerged as an alternative to traditional relational database systems. Advantages of NoSQL systems include performance—read and write operations are much faster than relational databases. Secondly, NoSQL systems can scale horizontally. They can process huge amounts of data across thousands of servers in the field of Big Data.

Flask is used to create web applications. It is an open-source framework. Flask is fast and consumes few resources. It is especially prominent for creating RESTful APIs. Compared to other web frameworks, Flask is lighter and uses less code. This makes Flask flexible and modular. Flask allows developers to configure it according to their needs. It is also ideal for large-scale projects. In this project, Flask was used for user authentication, sending data to the server, and displaying GeoJSON data locally.

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Selenium is an open-source, flexible library used for automating the testing of web applications. Selenium is used to automate web applications for testing purposes, but it is not limited to this. It allows you to open a browser and perform tasks as a human would, automating or testing the tasks you want to perform. In this project, Selenium was used in the VINN reset part to change the IP address for a system with IP-controlled limits.

1. 15 PCs and 13 VINNs are working for this project.
2. Appropriate data manipulation operations (Pandas library) were used to make the data suitable.
Satellite images and data were obtained from Google Earth Engine and Sentinel Hub.
3. To solve the overload problem when displaying parcels in HTML, GeoServer was used to show geojsons as image files on the map, and an API was created.
4. Using IIS Rewrite, APIs running on localhost were made accessible to external requests.
5. The latest statuses can be checked on the map.
6. For accuracy, automatic comparison of the center points with the parcel and crop was implemented.
7. Filter queries were made to prevent saving the same parcel information again.
8. Remote connections and restarts or checks are performed on PCs using Anydesk.
9. Many problems were encountered, and many source codes were written for solutions.

The KNN algorithm predicts the class of a new value based on the class density of its nearest neighbors. By using data from the Farmer Registration System (ÇKS), Hektaş Smart Assistant, and Hektaş Digital Marketing unit’s ArcGis data, the crop of a new value is determined with the KNN algorithm.

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HTML is used to load the content of web pages. CSS is used especially for creating layered styles on websites. It also allows changes that cannot be made with HTML tags. JavaScript is used to manage the behavior of websites. JavaScript is used to perform various operations such as sending feedback to the user or making changes on the site according to user actions. In this project, Javascript, HTML, and CSS were used for the frontend. Leaflet library was used for map display. Data filtering and listing were done using Bootstrap. API post operations were performed with JQuery.

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User authentication/authorization is very important when developing our web projects. We use various methods to protect our application from unauthorized users and to allow access only to authorized users. One of these solutions is to use tokens. In this project, authorization was performed using JWT for login control.