Claims:We Claim:
1) A plantation monitoring system based on Internet of Things comprising of;
a. Storing the data in the database of the website;
b. Data forming layer having sensor nodes with low power sensors for sampling environmental data such as soil humidity, soil temperature;
c. sensors for collecting illumination data, sample atmospheric temperature and relative humidity;
d. Transmitting the data from the monitoring site to the Internet within local area and for long distance;
e. Transmitting sense data through the serial port to gateway using GPRS to transmit the data to the Internet; and
f. accessing data from sensor via the database of the website by computer or mobile phone.
2) The plantation monitoring system based on Internet of Things as claimed in claim 1, wherein the said system consists of sensor nodes includes many kinds of low power sensors, which periodically sample environmental data, such as soil humidity, soil temperature.
3) The plantation monitoring system based on Internet of Things as claimed in claim 1, wherein the said system carries out data transmission within local area and long distance transmission.
, Description:FIELD OF THE INVENTION:
The present invention relates to a vegetable planting system. The present invention more particularly relates to a vegetable planting system based on Internet of things (IOT).
BACKGROUND OF THE INVENTION:
With the over-exploitation of natural resources, human being is faced with increasingly environment crisis, such as energy shortage, the global warming, deforestation, desertification and other environmental problems, so forest environmental protection becomes more and more important. Ecologists often think the density of trees is very important for forest cultivation, but lack of supporting data troubles them. In order to study the precise effects of density on plantation, ecologists need long-term monitoring on a variety of ecological indicators. However, it is difficult to collect automatically and reliably environmental monitoring data with traditional monitoring system. Internet of things provides the technical foundation for accomplishing this task. Internet of things is a network that connects anything to the Internet can exchange information through Radio Frequency Identification (RFID), sensor networks, Global Positioning System (GPS) and other information sensing devices, according to the agreed protocols, in order to achieve intelligent identify, locate, track, monitor and manage. Internet of Things has connectivity for anytime, anywhere, anyone and anything.
So there is a need for a plantation monitoring system which based on Internet of Things. This system interconnects the core system components ranging from localized collections of sensor nodes to the area of study to the wide-area where data is ultimately analyzed. The present invention is a plantation monitoring system based on Internet of Things (IOT).
OBJECTS OF THE INVENTION:
The main object of the present invention is to provide plantation monitoring system which based on Internet of Things.
Another object of the present invention is to provide plantation monitoring system based on Internet of things (IOT) in order to achieve intelligent identify, locate, track, monitor and manage for anytime, anywhere, anyone and anything.
Other objects and benefits of the present invention will be more apparent from the following description, which is not intended to bind the scope of the present invention.
SUMMARY OF THE INVENTION:
Accordingly, a system to provide plantation monitoring system which based on Internet of Things is disclosed. A plantation monitoring system based on Internet of Things comprising of;
a. Storing the data in the database of the website;
b. Data forming layer having sensor nodes with low power sensors for sampling environmental data such as soil humidity, soil temperature;
c. sensors for collecting illumination data, sample atmospheric temperature and relative humidity;
d. Transmitting the data from the monitoring site to the Internet within local area and for long distance;
e. Transmitting sense data through the serial port to gateway using GPRS to transmit the data to the Internet; and
f. accessing data from sensor via the database of the website by computer or mobile phone.
DESCRIPTION OF THE DRAWINGS:
Fig 1 is the flowchart for plantation monitoring system based on Internet of Things.
DETAILED DESCRIPTION OF THE INVENTION WITH RESPECT TO DRAWINGS:
The present invention is a system for plantation monitoring system based on Internet of Things. The present invention provides plantation monitoring system which based on Internet of Things and provides plantation monitoring system based on Internet of things (IOT) in order to achieve intelligent identify, locate, track, monitor and manage for anytime, anywhere, anyone and anything.
In one embodiment, system for plantation monitoring system based on Internet of Things comprising of;
a. Storing the data in the database of the website;
b. Data forming layer having sensor nodes with low power sensors for sampling environmental data such as soil humidity, soil temperature;
c. sensors for collecting illumination data, sample atmospheric temperature and relative humidity;
d. Transmitting the data from the monitoring site to the Internet within local area and for long distance;
e. Transmitting sense data through the serial port to gateway using GPRS to transmit the data to the Internet; and
f. accessing data from sensor via the database of the website by computer or mobile phone.

In another embodiment, First, data acquisition layer: The layer completes data acquisition function. The lowest level consists of sensor nodes that perform general purpose computing and networking in addition to application-specific sensing. Battery-powered sensor nodes are densely deployed among areas of interest. Each sensor node includes many kinds of low power sensors, which periodically sample environmental data, such as soil humidity, soil temperature. high quality sensors are used with sophisticated signal processing,
Second, data transmission layer: This layer implements that the collected data transmitting from the monitoring site to the Internet. Data transmission is divided into two processes. The initial stage needed to complete data collection within local area. sensor nodes can form wireless sensor network through self-organization. In the wireless sensor network, environment data that collected from sensor nodes are transmitted to sink node. In the second stage that data is stored in database of the website through long distance transmission. In this stage, sink node transmits sense data through the serial port to gateway. Then, the gateway uses GPRS module to transmit these data to the Internet. Finally, the gateway transfers sensing data to the Internet database via Internet.
Third, application layer: This layer provides a variety of services for end users. The remote end-users access data from sensor via the Internet database by computer or mobile phone. By abnormal alarm module, manager can master the situation of system in time. With data mining method, ecologists analyze and mine data from sensors.
The core of sensor node is a chip embedded with low-power microcontroller chip, integrated of 14-bit analog-digital conversion and a RF wireless transceiver. The chip is responsible for communicating with other sensor nodes. Due to the requirements of environmental monitoring, sensor nodes equipped with different types of low power consumption sensors for sampling microclimate data. 5TM water content and temperature sensor, which can sample soil moisture and soil temperature data. sensor is used to collect illumination data, sample atmospheric temperature and relative humidity by sensor. In order to make sensor to work normally, specially driving circuit for different sensors. Remote, humidity and energy consumption of soil sensor is relatively large, the power of sensor node supply. One battery supply power for chip, the other battery specifically supplies power for soil sensor. Sensor nodes run an open source, application-specific operating system for sensor networks devices. To minimize power, sensor node is generally in sleep mode which turning off the sensors, the radio, and putting the processor into a deep sleep mode. Every 30 minutes sensor node is wake-up to sample data.
B. Gateway node The gateway node mainly consists of two parts: sink node and GPRS module. GPRS communication module use chip. Sink node is responsible for receiving all the data transmitted from wireless sensor network. After collecting from sink node, the gateway use GPRS module for transmitting data to Internet.
In plantation monitoring system, software platform consists of data receive module, data visualization module, data visualization on mobile platform, abnormal alarm module. A. Data receive module To receive environmental data from gateway, monitoring a specific port at Internet server. Afterward verifying that the user name and password are correct, the system starts to classify data to be stored in database.
B. Data visualization module In data visualization module, remote users need to access real-time environmental data via Internet server by computer. Being seen in searches through Google is of the utmost importance. One of the best ways to show up in location searches is through the use of Google Maps. Considering RIA (Rich Internet Application) provides an intuitive responsive user experience .So, users can access real-time data and statistical data,
for mobile phone which run android operating system. users can visit real-time sensing data by phone with the program.
D. Abnormal alarm module The low cost and low quality sensor nodes have stringent resource constraint such as energy (battery power), memory, computing power, and communication bandwidth. The limited resource and capability make the data generated by sensor nodes unreliable and inaccurate. Wireless communication is susceptible to be interfered by wind direction or other blocking objects; it results in acquisition of wireless sensor node data sometimes lost. For this problem, the system is divided into three steps to deal with. First of all, the system analyses every day packet loss rate for each node. Secondly, packet loss rate for each node need to be accessed by user. As Web services allowing different applications from different sources to communicate with each other, the system designs web service by which users can master the state of every sensor node.
Temperature sample data is collected from different sensor within local zone . In the figure, we found that temperature trend is similar among different observation points within local zone, temperature data is highly correlation among different sensor nodes. Daily relative humidity data from different position sensors at the same location is also observed. At the same time, atmospheric relative humidity changed more obvious, soil humidity is relatively stable.