Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 7 No 3 (2023): Volume 7, Issue 3, March 2023 | Pages: 115-117
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 30-03-2023
Agriculture is one of the most important factors for economic growth for any country. Agriculture plays a very crucial role in increasing the economy of many developing countries. India, being one of the major countries in the world for producing vast amounts of different crops, still uses traditional techniques in the field of agriculture. Farmers not only face problems in coping with the changing climatic conditions but also need to meet up the rising demands of higher food production with good quality. As a matter of fact, Farmers need to be aware of the changing climatic conditions in order for them to yield quality crops. IoT based Smart Agriculture would not only help farmers monitor their crops in real time but also would help in recommendations regarding crops and fertilizers. This paper focuses on proposing an IoT based Smart Agriculture system, which would help farmers, get recommendations based on various factors like humidity, temperature, and moisture.
IoT, Smart Farming, Crop Prediction, Fertilizer Prediction
Vivek Parab, Prasad Dusar, Siddhesh Dalvi, Prof. Neeta Bankhele, “IOT Based Smart Farming Using Machine Learning” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 3, pp 115-117, March 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.703017
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence