Detection of Crops, Fertilizers and Diseases Using Machine Learning
Raj Sunil Narlawar, Rahul Dinkar Thombre, Vishakha Vikas Thorat, Jyotsna Hanumant Tirkar, Prof. Priya Ujawe
Abstract: Agriculture is an important sector in India. We propose developing a simple ML based project which recommends the best crop to grow, fertilizers to use and the diseases caught by your crops.
This work aimed to design and develop a testing or we can call it as suitable crop checker system using ML and data management via a web application.
Keywords: Detection Of Crops, Detection Of Fertilizer, Detection Of Diseases, Agriculture
This work is licensed under a Creative Commons Attribution 4.0 International License.How to Cite:
[1] Raj Sunil Narlawar, Rahul Dinkar Thombre, Vishakha Vikas Thorat, Jyotsna Hanumant Tirkar, Prof. Priya Ujawe, βDetection of Crops, Fertilizers and Diseases Using Machine Learning,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.101204