Design and Development of Agrobot Using Feed Forward Network for Smart Farming Agriculture

Year : 2024 | Volume :11 | Issue : 01 | Page : –
By

    Balasundaram M.

  1. Hariprasath P.

  2. S. Rathnamala

  3. B. Narmatha

  1. Student, Department of computer science and engineering, Sethu Institute of Technology, Virudhunagar, Tamil Nadu, India
  2. Student, Department of computer science and engineering, Sethu Institute of Technology, Virudhunagar, Tamil Nadu, India
  3. Associate Professor, Department of computer science and engineering, Sethu Institute of Technology, Virudhunagar, Tamil Nadu, India
  4. Assistant Professor, Department of computer science and engineering, Sethu Institute of Technology, Virudhunagar, Tamil Nadu, India

Abstract

The Agro Bot framework is a form of natural language processing that requires training to understand human language and meet user needs accordingly. The development of a chat bot tailored for the agricultural industry represents a significant advancement in agricultural technology. This chatbot serves as an interactive tool to assist farmers in various aspects of agricultural practices, including crop management, pest control, weather forecasting, and market information. The main objective of this chatbot is to deliver personalized and real-time assistance to farmers, empowering them to make informed choices and enhance their agricultural activities. The extension solution incorporated into this chat bot enhances its functionality by integrating a machine learning algorithm to predict crop yield based on historical data, weather patterns, and soil conditions. In our chatbot, We also gave the details of the “INTERCROPPING” which is especially for the south Indian cultures .The Primary Goal of the AGROBOT is to support the farmers who are all not aware of the south Indian agriculture of Intercropping.

Keywords: Digital register, Identification, Deep learning, A simple feed forward neural network is used for query classification, Gaussian Naive Bayes (GNB) classifier, Agriculture chat bot.CSV dataset.

[This article belongs to Journal of Advancements in Robotics(joarb)]

How to cite this article: Balasundaram M., Hariprasath P., S. Rathnamala, B. Narmatha.Design and Development of Agrobot Using Feed Forward Network for Smart Farming Agriculture.Journal of Advancements in Robotics.2024; 11(01):-.
How to cite this URL: Balasundaram M., Hariprasath P., S. Rathnamala, B. Narmatha , Design and Development of Agrobot Using Feed Forward Network for Smart Farming Agriculture joarb 2024 {cited 2024 Apr 22};11:-. Available from: https://journals.stmjournals.com/joarb/article=2024/view=143902


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Regular Issue Subscription Review Article
Volume 11
Issue 01
Received April 1, 2024
Accepted April 5, 2024
Published April 22, 2024
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