C. A. Rose Mary, A. Raji Sukumar, N. Hemalath. Text based smart answering system in agriculture using RNN.. 2021. agriXiv.2021.00071
Text based smart answering system in agriculture using RNN.
DOI: 10.31220/agriRxiv.2021.00071
-
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.
Key words: chatbot; farmers; agriculture; project; the world; rnSubmit time: 1 January 2021
Copyright: The copyright holder for this preprint is the author/funder, who has granted agriXiv a license to display the preprint in perpetuity. -
图表
-
Eduardo Santos Rodrigues, Gabriel Sgarbiero Montanha, Marcos Henrique Feresin Gomes, Nádia Marion Duran, Camila Graziele Corrêa, Sara Luiza Zachi Romeu, Anderson do Espírito Santo Pereira, Jhones Luiz de Oliveira, Eduardo de Almeida, Alejandro Pérez‐de‐Luque, Subhasis Ghoshal, Catherine Santaella, Renata de Lima, Leonardo Fernandes Fraceto, Hudson Wallace Pereira de Carvalh. Are nanomaterials leading to more efficient agriculture? Outputs from 2009-2022 research metadata analysis.. 2021. doi: 10.31220/agriRxiv.2021.00054
Kristal Jones, Andreea Nowak, Erika Berglund, Willow Grinnell, Emmanuel Temu, Birthe K. Paul, Leah L.R. Renwick, Peter Steward, Todd S. Rosenstock, Anthony A. Kimar. Integrating evidence of potential impacts of climate-smart agriculture in Tanzania.. 2021. doi: 10.31220/agriRxiv.2021.00103
Getaneh Sileshi, A. Zemedkun, S. Nurhussie. Assessment of the pesticide use, practice and hazards on cotton growing farmers in the Awash Valley Ethiopia.. 2021. doi: 10.31220/agriRxiv.2021.00044
Ian Nicholas Best, Jhen Liu, Pei Jen L. Shaner, Chi‐Chien Kuo, Kurtis Jai‐Chyi Pe. Pest control practices of farmers in Taiwan and implications for non-target wildlife.. 2021. doi: 10.31220/agriRxiv.2021.00090
Michelle Felton, Philip Jones, Richard Tranter, Joanna Clark, Tristan Quaife, Martin Luká. Farmers' attitudes towards, and intentions to adopt, agroforestry on farms in lowland South-East and East England.. 2021. doi: 10.31220/agriRxiv.2021.00110
Bryony Taylor, Jonathan Paul Casey, Sivapragasam Annamalai, Elizabeth A. Finch, Tim Beale, W. Holland, Sean T. Murphy, Cambria Finegol. Minimizing pest and disease risks in uncertain climates: CABI initiatives developing new technologies and tools for outreaching early warning to farmers.. 2021. doi: 10.31220/agriRxiv.2021.00064
Saba Baba Mohammed, Daniel Kwadjo Dzidzienyo, Muhammad Umar, Mohammad F. Ishiyaku, Pangirayi Tongoona, Vernon Grace. Appraisal of cowpea cropping systems and farmers' perceptions of production constraints and preferences in the dry savannah areas of Nigeria.. 2021. doi: 10.31220/agriRxiv.2021.00046
M. C. Onyema, Chukwudi C. Nwaigw. Urban agriculture: a timely game changer for urban residents in Nigeria.. 2020. doi: 10.31220/agriRxiv.2020.00016
Poorva Joshi, Neelesh Dahanukar, Shankar Bharade, Vijay Dethe, Smita Dethe, Neha Bhandare, Milind Watv. Where honesty and hard work is the only stable strategy: design, evolution and pilot implementation of a support cum reward game in developmental economics.. 2020. doi: 10.31220/agriRxiv.2020.00007
Miranda Bane, Michael J. O. Pocock, Caroline Gibert, Matthieu Forster, Geoffroy Oudoire, Stéphane A. P. Derocles, David Boha. Farmer flexibility concerning future rotation planning is affected by the framing of climate predictions.. 2020. doi: 10.31220/agriRxiv.2020.00025
-
ID Submit time Number Download 1 2021-01-01 10.31220/agriRxiv.2021.00071V1
Download -
-
Public Anonymous To author only
Get Citation
Article Metrics
- Read: 67
- Download: 0
- Comment: 0



