Accurate identification of diseases in the vineyard is key to preventing serious outbreaks and losses in profits and quality. The severity of diseases varies from year to year, depending primarily on weather condition, history of the disease, soil and water parameters and susceptibility of vines. That means a diseases can be devastating one year and insignificant the next year. The measure to be taken to prevent losses may therefore any from season to season. The purpose of propose system to identify the causes, various factors and conditions which are make favorable environment for attacking of diseases. Various favorable condition for disease development during the life cycle of grapes such as minimum and maximum temperature, percentage (%) of humidity in air, cloudy weather, Rainy with light showering weather, Rainy with heavy showering weather, soil quality and contents and water quality. Propose system ensures to find out the current values of that all parameters and deal with real time data and timely communication for upcoming diseases in vine and take appropriate preventive action over that. Various types of smart sensor used in this system for identifying real time data. That data analyses and visualized by system program and provide to next level. Proposed system ensures to find favorable condition and parameters of eleven different diseases such as Powdery mildew, Bacterial Leaf Spot, Anthracnose, Downy Mildew, Greenaria bitter rot, Alternaria blight , Black Mould rot, Rhizopus rot, Rust, Bacterial cancer etc.

Keywords : Agriculture IoT, WSN(Wireless Sensor Network), DHT22,SHT10, LLC200D3SH-LLPK1, SEN -209, SHS-A5, Raspberry Pi, ThingSpeak Cloud, Data Visualization, Python script,Write API Key’s,Read API key’s.