Downloads: 131 | Monthly Hits: ⮙1
Research Paper | Computer Science & Engineering | India | Volume 9 Issue 4, April 2020
Smart Farm Web Application Using Machine Learning Algorithm
Indhra Priyadharshini S, Abinaya S, Indhuja R, Keerthana Shree S
Abstract: In India and other countries, the situation of small landowners is getting worse. Providing confidential support helps them to better utilize their field and get better creativity and benefits. Its primary motivation is to reach out to farmers and disseminate relevant and timely information to them. The idea of reducing arbitration costs. The platform aims to see the accuracy and temptation of intermediaries by launching the deal, where e-commerce activity in recent decades has seen consumers switch their purchases from the virtual market to the Internet market. Agriculture is a manual process. The integration of any kind of robotization through machine learning methods is in the adoption stage. A comparison study between machine learning algorithms is done to see if this is the most accurate algorithm for estimating the best yields of a particular land, and in addition this website guides farmers to find new agricultural paths, compare the current market rate for various materials, and sell wholesale and net profit.
Keywords: E-farming, crop prediction, crop price, agriculture, agribusiness
Edition: Volume 9 Issue 4, April 2020,
Pages: 728 - 731
How to Cite this Article?
Indhra Priyadharshini S, Abinaya S, Indhuja R, Keerthana Shree S, "Smart Farm Web Application Using Machine Learning Algorithm", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR20405134332, Volume 9 Issue 4, April 2020, 728 - 731
How to Share this Article?
Similar Articles with Keyword 'agriculture'
Implementation of Long Range Wireless IoT Device for Agriculture Using Multi-Hop Topology Design
Anchla Rajput, Anshul Sarawagi
Raisins Grade Detection Using Image Processing Technology
Vinay Kumar M C, Sri B N Veerappa