• Mr. Sachin Elgandelwar
• Suraj Kakade
• Gaurav Punde
• Shivraj Saindre

This paper gives a brief scenario regarding prediction methods to increase the crop yield. Many researchers suggested methods already exist for this purpose. In our proposed model, various parameters were analyzed to monitor overall performance of agriculture field to make a suitable crop decision which leads to increase yield. It is also taken into consideration for make model more reliable and affordable to every user. A combination of decision making and monitoring parameters is achieved with the help of various sensors and modules. We are producing more accurate observations with greater accuracy and minimum time lag. All readings are in approximation manner hence we use Fuzzy Logic Concept here. All Data can be analyzed by microcontroller and sent to the Smartphone via Wi-Fi module. IoT (Internet of Things) collects data from sensors and analyzed it and put it on the internet with the use of MQTT (Message Queue Telemetry Transport) protocol.

Crop Yield, IoT, Fuzzy Logic, Microcontroller

"Agriculture System for Maximum Yield Production Using Fuzzy Logic and IoT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.232-237, May-2019, Available :http://www.jetir.org/papers/JETIRBO06043.pdf

"Agriculture System for Maximum Yield Production Using Fuzzy Logic and IoT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp232-237, May-2019, Available at : http://www.jetir.org/papers/JETIRBO06043.pdf