Internet of Things plays a vital role in smart
agriculture monitoring system. Smart farming is an emerging concept, because
IoT sensors are capable of providing information about their fields. Wireless
Sensor Networks are performing a key role in different applications such as
healthcare, agriculture, environment monitoring, home automation. Monitoring
environmental factors is the major factor to improve the yield of the crops.
The main feature of this paper is monitoring temperature and humidity in agricultural
field. This monitoring is done by using sensors and sending the message to the
farmer. The main purpose of paper is to propose a grid system onion storage
methodology which will help to reduce onion degradation due to temperature and
humidity. If in the storage of onions, one of the onion starts degradation then
this system will send the message to the farmer. This will help to improve
yield better quality onion and save the farmers from the major economic loss.
S.Veenadhari, Dr. Bharat
Misra, Dr.CD Singh, “Machine learning approach for forecasting crop yield based
on climatic parameters”, International Conference on Computer Communication and
Informatics (ICCCI -2014), Jan. 03 -05, 2014.
Nishit Jain, Amit Kumar,
Sahil Garud, Vishal Pradhan, Prajakta Kulkarni, “Crop Selection Method Based on
Various Environmental Factors Using Machine Learning”, International Research
Journal of Engineering and Technology (IRJET), Volume: 04 Issue: 02, Feb -2017.
R. Nageswara Rao,
B.Sridhar,” Iot Based Smart Crop-Field Monitoring and Automation Irrigation
System”, IEEE Second International Conference on Inventive Systems and Control
(ICISC), 2018.
EkataGhadage,
VibhavariKharate, Parnika Mane, SamruddhiPimpale,” Smart Irrigation and Crop
Planning System:using Arduino Microcontroller”, International Journal of
Advanced Research in Computer and Communication Engineering, Vol. 6, Issue 1,
January 2017,DOI 10.17148/IJARCCE.2017.6186.
S.Veenadhari, Dr. Bharat
Misra, Dr.CD Singh, “Machine learning approach for forecasting crop yield based
on climatic parameters”, International Conference on Computer Communication and
Informatics (ICCCI -2014), Jan. 03 -05, 2014.
Nishit Jain, Amit Kumar,
Sahil Garud, Vishal Pradhan, Prajakta Kulkarni, “Crop Selection Method Based on
Various Environmental Factors Using Machine Learning”, International Research
Journal of Engineering and Technology (IRJET), Volume: 04 Issue: 02, Feb -2017.