IoT Based Soil Analysis for Betterment of Agriculture Productivity
Deore Sayali Sanjay
, Kalunge Gayatri Sanjay , Pawar Archana Ravindra , Shimpi Punam Kishor , Prof. M. V. Korade
Fertilizer and Crop Recommendation, Soil Analysis, Arduino, pH sensor, Soil Moisture Sensor.
Indian economy is mainly depends on agriculture and agriculture productivity depends on soil fertility but the current approach of soil testing is time consuming because soil samples tested in laboratory situated in cities which takes weeks or a month. Also the lack of knowledge of farmers regarding the soil may cause decrease in agriculture productivity so there is a need to develop the system which can be made available to the farmer which helps the farmers to cultivate and produce proper crop by recommending appropriate fertilizer and crop suitable. In this paper, a system is proposed that measures pH of soil using pH sensor and nutrients present in the soil by using various sensors. It will also suggest farmers which fertilizers and crop is suitable for farm. This system will help to increase the agriculture productivity and financial status of the farmers.
"IoT Based Soil Analysis for Betterment of Agriculture Productivity ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 12, page no.72 - 76, December-2019, Available :https://ijsdr.org/papers/IJSDR1912017.pdf
Volume 4
Issue 12,
December-2019
Pages : 72 - 76
Paper Reg. ID: IJSDR_191165
Published Paper Id: IJSDR1912017
Downloads: 000347512
Research Area: Engineering
Country: Nashik, Maharashtra, 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
