Farmer assistant and crop recommendation system AgriMitra

Registration ID: IJNRD_193342

Published ID: IJNRD2304728

DOI: Click Here to Get

Vivek Raju Rajput , Ajinkya Deshmukh , Utkarsh Patil , Harshal Ushire , P.M. Chawan

: Technology, Profit, Farmer, Cost, Machine Learning, Model, Ensemble Learning, Bagging, Boosting, Voting, Stacking

In India, agriculture accounted for 18% of the GDP with about 42% of the workforce. The people involved in agriculture are high in percentage but their contribution to the economy is different. In today's world, people are getting more and more digitised. As a result, most people have smartphones and internet access. In rural areas people including farmers, shopkeepers and others are using these technologies to make their life easier. With this technological evolution, we have developed the farmer assistant to guide farmers such that they can improve their productivity and gain higher profits. We have developed a model that will suggest the appropriate crop to the farmer according to the conditions. The model will take into account all the soil quality parameters such as soil fertility which includes Nitrogen, potassium, Phosphorous value in soil. Also, the model will give the result according to the weather condition such as temperature, humidity, rainfall. This will give a huge benefit to the farmer .Also there is a selling platform for the farmer where farmer can upload the advertisement on how much crop product he has and how much rate he expects. The buyer will then see the advertisement and he can contact the farmer for the product to finalise the deal.

Published Paper   E-Certificate

Vivek Raju Rajput, Ajinkya Deshmukh, Utkarsh Patil, Harshal Ushire, & P.M. Chawan (April-2023). Farmer assistant and crop recommendation system AgriMitra. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), h216-h221. https://ijnrd.org/papers/IJNRD2304728.pdf

Volume 8 Issue 4, April-2023

Pages : h216-h221

Paper Reg. ID: IJNRD_193342

Published Paper Id: IJNRD2304728

Downloads: 000121982

Research Area: Engineering

Country: Mumbai , Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304728.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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