Abstract
Abstract Agriculture is an important aspect of India's economy, and the country currently has one of the highest rates of farm producers in the world. The world of agriculture is becoming increasingly serious. Delivering a high-quality product is only part of the equation in today's industry. A chatbot is a tool or assistant that you may communicate with via instant messages. The chatbot understands what you're trying to say and responds with a sensible, relevant reply or just completes the best errand for you. The goal of this project is to create a Chatbot that uses natural language processing to promote remote interaction between users/farmers and the agriculture environment. A chatbot is being developed that can answer basic questions from farmers as well as give possible agricultural knowledge and solutions. This technology assists farmers in distant areas without internet access in better understanding the crop to be cultivated based on atmospheric conditions and answering fundamental agricultural concerns. In this project we have tried implementing Multi-Layer Perceptron model and Recurrent Neural Network models on the dataset. The accuracy given by RNN was 97.83% much better comparable to MLP.
Highlights
Agriculture contributes around 16 percent of India's GDP and employs about 52 percent of the country's population, making it a significant part of the country's economic growth
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Its fundamental idea is to make the process of creating a neural network, training it, and utilising it to generate predictions as simple as possible for anyone with a basic understanding of programming, while still allowing developers to fully customize the parameters of the ANN [8]
Summary
Agriculture contributes around 16 percent of India's GDP and employs about 52 percent of the country's population, making it a significant part of the country's economic growth. The difficulties are exacerbated by the dissemination of disinformation These issues exist as a result of the huge linguistic variety and the rural population's lack of trust in contemporary technologies. In such a situation, using mobile devices to disseminate agricultural information looks to be a viable option. According to a major study in the field of chatbot systems, there is no agriculture-specific system that can provide precise and rapid answers to farmers' questions To solve this issue, the suggested system uses the RNN (Recurrent Neural Network) deep learning method to offer accurate responses to the queries asked.
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