The present work was undertaken to conduct a novelty search on a unique, low-cost, home-made, eco-friendly product which is a unique sensor that automatically sense the moisture density and other soil parameters (water, mineral)and protect them from climatic disaster as well as intrusion detection with real-time notification and protect them from climatic disaster as well as intrusion detection with real-time notification.
BACKGROUND OF THE INVENTION
[0002] Agriculture is considered as the basis of life for the human species as it is the primary source of food grains and other raw materials. It plays a vital role in the growth of country's economy.
[0003] Many farmers still use the traditional methods of fanning, which results in low yielding of crops and fruits.
[0004] The Sensors which we used in our project is built on Arduino Board (ARM-Based Board), which is of low cost, portable and can be easily deployable in any situation.
[0005] This Sensors involves irrigation through a mobile application involving sensors, data analysis using IBM Watson platform. This system senses the moisture content of the soil in a given explicit space along with the auto-sense capability of determining soil requirements (water, mineral) and protect them from climatic disaster as well as intrusion detection with real-time notification and protect them from climatic disaster as well as intrusion detection with real-time notification.
OBJECTIVES OF THE INVENTION
[0006] It is an object of the invention to design and develop Smart Agri Solution that auto-sense capability of determining soil requirements.
[0007] It is an object of the invention to develop a cost-effective smart irrigation system.
[0008] It is an object of the invention to develop an easily deployable smart irrigation system which gathers information from multiple inputs.
[0009] It is an object of the invention to provide an effective portable sensor which automatically senses the soil moisture density and other soil parameters, analyse the data and regulate the amount of water.
[00010] To develop an intrusion detection system based on Bayesian Theory and heat map technique for real-time notification.
[00011] It is an object of the invention to provide low cost yet effective irrigation solution that employs locally available materials as components, instead of using traditional methods for agriculture.
SUMMARY OF THE INVENTION
[00012] The present invention discloses the studies directed towards the development of a smart micro-controller-based irrigation system that can monitors crop health, water requirements and any intrusion detection using crop data analysis based on Bayesian analysis hosted on a statistical and analytical cloud platform. This unique approach suggests the remedy that is taken whenever the soil moisture level goes down below the threshold level; the water pump gets automatically activated. This system senses the moisture content of the soil in a given explicit space along with the auto-sense capability of determining soil requirements (water, mineral) and protect them from climatic disaster as well as intrusion detection with real-time notification and protect them from climatic disaster as well as intrusion detection with real-time notification. We conducted several tests on different environmental conditions and soil moisture density, and thus we conclude that our approach is better and unique than other existing irrigation techniques.

BRIEF DESCRIPTION OF DRAWINGS
[00013] Sensor Deployed for Testing
[00014] Moisture Density Calculation
[00015] Real-Time Notification system
[00016] Proposed System
[00017] Agricultural Techniques Comparison
DETAILED DESCRIPTION OF THE INVENTION
After analysing all the approaches for smart irrigation, we proposed a sensor-based approach that senses the moisture content of the soil in a given explicit space along with the auto-sense capability of determining soil requirements (water, mineral) and protect them from climatic disaster as well as intrusion detection with real-time notification. The detailed step by step process is as follows:
[00018] Selection of Components
Here in this step, we collect some specific information is about good irrigation practices like soil moisture requirement, Temperature requirement, Time required for irrigation etc. So, for every problem, there exists a predefined sensor which can perform the same functionality as we do in manual irrigation techniques.
[00019] Deployment of the Sensor:
The next critical phase is the sensor deployment. The deployment of the sensor is based on several factors such as environmental conditions, climate, soil type etc. For the proper deployment of the sensor, we need full detail of all the above factors.
[00020] Preparations of the Data:
Since all the deployed sensors have different functionality and perform differently, i.e. some senses data based on soil moisture content, some senses data based on climatic conditions etc. Since for preparation of datasets we choose only that data using Bayesian analysis.
[00021] Prediction from the datasets:
Since in our proposed project, we will use statistical and analytical cloud platform for data analysis. Since IBM Watson is hosted on cloud thus it provides security as well as protection form the network threats and cloud environment helps in faster processing of data.
[00022] Test and Result Analysis
The soil moisture was determined as a percentage (v/v%) using the formula: The percentage yield of plant extract or essential oil =
(a) Depth of water (dw)
bulk density of soil percentage of water
■ x T^. x depth of soil
1 nr\ r
bulk density of water 100
percentage of water
= the relative bulk density x — x depth of soil

For the calculation of the volume of water against dry soil we took volumetric water content, 9
Ptv Pw
The Vw will be calculated by the help of the sensor which we deployed on the ARM-based Arduino board.
The approach works on the principle of Bayesian Analysis Technique (BAT).
Bayesian Analysis Technique (BAT) is the mathematical formula of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available.
In this approach, first, a sensor will calculate the data from the designated area in which it is deployed.
The data which is collected from the different sensors will be stored in a central repository for further analysis.
The central repository will send data to the statistical and analytical cloud platform for data parsing as well as analysis purpose.
Since we have programmed the portable device to send data prepared from the Bayesian analysis, this factor reduces the amount of data sent to the statistical and analytical cloud platform, and hence it helps in reducing time complexity for the complete process.
After the complete analysis (Statistical+ Bayesian), if there occurs any deviation from the predefined data or values. It will generate a real-time notification to the users.
The data extracted from the several sensors parameters will be stored in a blockchain-based data structure hosted on a cloud platform
[00023] THE AUTOMATED SENSOR
The design of the essential components of the project is treated here, for the experimental purpose we use ARM-Based board. Here is a list of the components and tools required,
Arduino Uno
PCB
Piezoelectric Disk
Header Pins
A breadboard (optional)
Wires
Soldering Iron
Soldering Lead
b) For this project, we will be using digital pins of the Arduino Board, because it is portable and easy to
implement. The step by step process of making agricultural sensors is as follows:
1. Choose Arduino Uno, board with a Lithium-ion battery
2. Attach Piezoelectric Disk to the board as in Figure a, Since Piezoelectric Disk has the ability to generate an electric charge in response to change in any defined situation (i.e. mechanical or electrical) and used to generate a heatmap for any intrusion.

Fig a
3. Since the working of the sensor is governed by the backend program, so we programmed the sensor to capture data and responds to them.
[00024] PROPOSED SYSTEM


Sensor 1 Value 2 Value 3
> Sensor 2 Value 5 Value 5
Sensor n Value 8 Value 9
Data for Analysis
Bayesian Analysis for
Prediction and
Notification
Actor
Data From Multiple Sensors

Notification

Figb: Proposed System
WORKING STEPS:
In this approach, as mentioned in Figure b, first, a sensor will calculate the data from the designated
area in which it is deployed.
The data which is collected from the different sensors will be stored in a central repository for further
analysis.
The central repository will send data to statistical and analytical cloud platform cloud for data parsing
as well as analysis purpose.
Since we have programmed the portable device to send data prepared from the Bayesian analysis, this
factor reduces the amount of data sent to the statistical and analytical cloud platform, and hence it helps
in reducing time complexity for the complete process.
After the complete analysis (Statistical + Bayesian), if there occurs any deviation from the predefined
data or values. It will generate a real-time notification to the users.

ADVANTAGES OF THE INVENTION
[00028] The Present Invention provides a low cost yet effective sensor-based Smart Agri system that auto-sense capability of determining soil requirements.
[00029] The Present Invention provides a cost-effective smart irrigation system.
[00030] The Present Invention provides a low cost yet effective easily deployable smart irrigation system which gathers information from multiple inputs.
[00031] The Present Invention provides a low cost yet effective portable sensor which automatically senses the soil moisture density and other soil parameters, analyse the data and regulates the amount of water
[00032] The Present Invention provides a low cost yet effective smart irrigation system that performs intrusion detection system based on Bayesian Theory for real-time notification
[00033] The Present Invention provides a low cost yet effective irrigation solution that employs locally available materials as components, instead of using traditional methods for agriculture.

We claim,
1 .An autonomous method of detecting and responding to any cultivation event based on multiple input parameters in a designated agricultural field in a sustainable environment using a portable device, the method steps comprising:
a)Autonomous soil moisture identification by portable device
b)Autonomous crop health identification by the portable device.
c)Autonomous intrusion detection based on heatmap technique by the portable device.
d)Autonomous stored all the data in a chain which is decentralised.
e)Autonomous Notification to the user if any anomalies exist during mapping with normally required behaviour.
2. The method of claim 1, wherein autonomous soil moisture identification will be made by
automatically by using soil sensor which will calculate the moisture density of soil in a given
designated area using particle cohesiveness estimation technique.
3. The method of claim 1, wherein independent crop health analysis is done by the portable device by generating stream of data and auto analyse on the basis of crop water requirement, crop root length estimation, climatic effect on crop.
4. The method in claim 1, wherein the autonomous intrusion detection will be done by the portable device by estimating the heatmap parameter of the intrusion with respect to the field's parameter.
5. The method of claim 1, wherein autonomous data that is extracted from the portable device, will be stored in the blockchain in a predefined format using sensor ID as an access key by the portable device.
6. The method of claim 1, wherein autonomous notification will be done by the portable device if there exists a change requirement in any input parameter of the field, it will generate a notification to the user mentioning the changes as well as changes to be done in order for sustainable farming.