FarmTechBot (FTB): Empowering farmers for better harvest

G. Kalaiselvi 1, *, B. Rubavarshini 2, T. Thirumullai 2 and I. Dhivyadharshini 2

1 Assistant Professor, Department of Computer Science and Engineering, Anjalai Ammal Mahalingam Engineering College, Kovilvenni, Tamil Nadu, India.
2 UG Student, Department of Computer Science and Engineering, Anjalai Ammal Mahalingam Engineering College, Kovilvenni, Tamil Nadu, India.
 
Review
International Journal of Science and Research Archive, 2024, 12(01), 055-062.
Article DOI: 10.30574/ijsra.2024.12.1.0758
Publication history: 
Received on 18 March 2024; revised on 27 April 2024; accepted on 29 April 2024
 
Abstract: 
In an evolving world, the FarmTechBot (FTB) emerges as a pioneering digital assistant, empowering farmers with essential insights and real-time information crucial for optimizing agricultural practices. The presence of chatbot functionality capable of addressing queries related to soil, pest, and market linkage associates to overcome hurdles for users seeking real-time information. Furthermore, the lack of voice recognition capabilities limits accessibility, especially for users who prefer or require voice-based interaction. Additionally, the manual process of pest identification from uploaded crop images hampers efficiency, prolonging the time required for pest management. The FTB represents a significant advancement in agricultural technology, addressing the existing system's limitations and empowering farmers with real-time information, enhanced accessibility, and streamlined pest management capabilities. The FTB utilizes a combination of techniques including Histogram of Oriented Gradients (HOG) for image feature extraction and classification using Support Vector Classifier (SVC). In Natural Language Processing (NLP), it employs tokenization and TF-IDF vectorization for text preprocessing and representation, alongside Linear Support Vector Classifier (LinearSVC) for intent classification.
 
Keywords: 
Chatbot; Natural Language Processing; Agriculture; Support Vector Classifier
 
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