title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ c Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÑÐµÐ¹Ð¼Ð²Ð¾ÑÐºÐ° Next.js Ð´Ð»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ Ð±Ð¾Ð»ÐµÐ·Ð½ÐµÐ¹ ÑÐ°ÑÑÐµÐ½Ð¸Ð¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of an application using Next.js framework for automatic diagnosis of plant diseases
Creators: name: Ð¡Ð°Ð²ÑÑÐº, ÐÐ»ÐµÐºÑÐµÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ°Ñ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ° Ð±Ð¾Ð»ÐµÐ·Ð½ÐµÐ¹ ÑÐ°ÑÑÐµÐ½Ð¸Ð¹
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ LLM
Python
Next.js
automatic plant disease diagnosis
machine learning
neural networks
image classification
LLM-based applications

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÑ ÑÑÐµÐ´ÑÑÐ² Ð´Ð»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ Ð±Ð¾Ð»ÐµÐ·Ð½ÐµÐ¹ ÑÐ°ÑÑÐµÐ½Ð¸Ð¹ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð ÑÐ°Ð¼ÐºÐ°Ñ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ» Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð¾Ð±Ð·Ð¾Ñ Ð¸ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÑ ÑÑÐµÐ´ÑÑÐ² Ð´Ð»Ñ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ Ð±Ð¾Ð»ÐµÐ·Ð½ÐµÐ¹ ÑÐ°ÑÑÐµÐ½Ð¸Ð¹, ÑÑÐ¾ÑÐ¼ÑÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð° Ð¸Ð´ÐµÑ ÑÐ°Ð·ÑÐ°Ð±Ð°ÑÑÐ²Ð°ÐµÐ¼Ð¾Ð³Ð¾ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¸ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸Ñ Ðº Ð½ÐµÐ¼ÑÍ¾ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð° Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÐ° Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¸ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸, Ð¿Ð¾ÐºÐ°Ð·Ð°Ð½Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ðµ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ Ð´Ð»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ Ð±Ð¾Ð»ÐµÐ·Ð½ÐµÐ¹ Ð¸Ð¼ÐµÐµÑ ÑÐ»ÐµÐ´ÑÑÑÑÑ ÑÑÐ½ÐºÑÐ¸Ð¾Ð½Ð°Ð»ÑÐ½Ð¾ÑÑÑ: ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ°Ñ Ñ ÐÐ-Ð¿Ð¾Ð¼Ð¾ÑÐ½Ð¸ÐºÐ¾Ð¼ Ð¸ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ°Ñ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ° Ð±Ð¾Ð»ÐµÐ·Ð½ÐµÐ¹ ÑÐ°ÑÑÐµÐ½Ð¸Ð¹ Ð¿Ð¾ ÑÐ¾ÑÐ¾Ð³ÑÐ°ÑÐ¸Ð¸. ÐÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¾ Ð¿Ð¾ Ð¿ÑÐ¸Ð½ÑÐ¸Ð¿Ñ ÑÐµÑÐ²Ð¸Ñ-Ð¾ÑÐ¸ÐµÐ½ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÑ Ð¸ Ð¸Ð¼ÐµÐµÑ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ ÑÐ±Ð¾ÑÐºÐ¸ Ð¸ ÑÐ°Ð·Ð²ÐµÑÑÑÐ²Ð°Ð½Ð¸Ñ Ð±Ð»Ð°Ð³Ð¾Ð´Ð°ÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ ÐºÐ¾Ð½ÑÐµÐ¹Ð½ÐµÑÐ¸Ð·Ð°ÑÐ¸Ð¸.
description: The given work is devoted to the development of software tools for the automatic diagnosis of plant diseases using machine learning methods. In this work an overview and comparison of existing software tools for plant disease diagnosis were conducted. The concept of the developed application and its requirements were definedÍ¾ the application architecture and development technologies were proposed, and the results of the developed application were demonstrated. The developed application for automatic plant disease diagnosis has the following features: a chat with an AI assistant and automatic plant disease diagnosis based on images. The application has a service-oriented architecture and the capability for automatic build and deployment due to the use of containerization.