Smart Agriculture: Crop Recommendation and Crop Management Using Data Mining and IoT
Raj Rana
, Nitish Prajapati , Akhil Pawar , Kapil Patil , Prof. Gokul Patil
Internet of Things; Precision agriculture; Machine to Machine; Machine Learning; Big Data Analysis.
Increasing food consumption, inquiring for quality food, and environmental impacts of agriculture cause have used data technology within the agriculture sector, that comes underneath the heading of precise agriculture. The Internet of Things (IoT) may be a technology that's growing speedily in recent years and brings various advantages with it for agriculture. Owing to the heterogeneous and massive quantity of knowledge collected by IoT devices, the way forward for Internet of Things (IoT) agricultural applications rely upon cloud computing. At the identical time, micro controllers can add new skills to the Internet of Things (IoT). A colossal majority of the Indian farmers believe in betting on their intuition to determine crops to inseminate a specific season. They realize comfort in merely following the ancestral farming patterns and norms while not realizing the fact that crop output is specific, relying heavily on the contemporary weather, and soil conditions. One misguided or imprudent call by the farmer will have undesirable ramifications on each himself also because the agricultural economy of the region. A mixture of massive information Analytics and Machine Learning will effectively facilitate alleviate this issue.
"Smart Agriculture: Crop Recommendation and Crop Management Using Data Mining and IoT", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 3, page no.390 - 396, April-2020, Available :https://ijsdr.org/papers/IJSDR2003067.pdf
Volume 5
Issue 3,
April-2020
Pages : 390 - 396
Paper Reg. ID: IJSDR_191526
Published Paper Id: IJSDR2003067
Downloads: 000347207
Research Area: Engineering
Country: Umbergaon, Gujarat, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
