iots based monitoring system16258

Project TitleProject Area of Specialization Internet of ThingsProject Summary

                     IoTs based soil quality accessment

Nowadays People live in rural areas not judge the soil quality for crops production. this system is proposed to check the soil quality chemical attribute of two type of soil and crops i.e. clay (cotton), clay (wheat) and sandy (cotton), sandy (wheat). Our proposed approach is used to measure soil pH range, moisture value and water level in soil. Based on these values of a dataset and use a decision tree algorithm based on Information Gain and Entropy to make a decision which soil is good for crops production. Our approach use a novel idea of measuring the soil quality and assist person to take decision which soil is good for crops production. In this project , we use a large dataset of soil chemical attributes (soil pH), soil moisture and water level in soil. In proposed approach an effective soil quality result based on soil quality chemical attributes integrated with decision tree algorithm to considered chemical attributes (pH), soil moisture and water level effect on measure soil quality process. Current project facilitate a person by providing them an Smart Soil Quality Assessment System to check the soil quality chemical attributes which type of soil is good for what type of crops production.To achieve the goal some ranges was set i.e. good, average and worst of three sensor values resistive, capacitive and soil pH and the result of this project was compared with the ranges that can be set of individual sensor.

Project Objectives

This project give a simple solution to monitor soil quality which soil is better for which type of crops production.Smart Soil Assessment System can build with more accurate and efficient with IoT enabled technologies. This system identifies the problems that peoples are facing i.e. not judge the soil quality for crop production, how to connect different sensor to Arduino UNO, With the help of resistive soil moisture sensor, capacitive soil moisture sensor and soil pH sensor people can decide which type of crop is suitable for which type of soil. In this research take two type of soil and two type of crops i.e. Clay (Cotton), Clay (Wheat), Sandy (Cotton), and Sandy (Wheat).There are several objectives such as:-

1. To design the IoT-based ‘Smart Soil Quality Assessment System’ that detects the soil quality in terms of different types of soil whether it suits for a crops growth or not.
2. To monitor the soil pH level, moisture content and water level in soil we use soil pH, resistive and capaitive soil moisture.
3. To main aim of this project those people who living in rural area very helpful to measure the soil quality. People easily judge what type of soil is good for plant growth, take less water and enhance quality of growth. In this project we take two type of soil clay, sandy.

Project Implementation Method

In this project we developed an intelligent Soil Quality Assessment System based on sensors. So current solution consist of two component. First component integrate Arduino UNO which used to sense soil quality attribute by using the sensors i.e. resistive, capacitive soil moisture sensor and soil pH sensor. In second component we used Information Gain and Entropy to give efficient decision status of Soil Quality Assessment. Our current decision tree component is divided input in to three potential decision classes depend on their value i.e. Good, Average and Bad. We use Information Gain and Entropy statistics in Decsion Tree to pick good feature to split.The Smart Soil Quality Assessment System is an intelligent system that take the ability of correct decision based on decision tree algorithm. The intelligent approach use sensor based monitoring system. To judge the performance of current system we use three sensors (soil pH, resistive, capacitive soil moisture sensor) on two types of soil and two types of crops i.e. clay (cotton), clay (wheat), sandy (cotton), sandy (wheat).All experiment result discussed in this section.

Judge Dataset 1 is collected from clay soil i.e. clay (cotton)

Judge Dataset 2 is collected from clay soil i.e. clay (wheat)

Judge Dataset 3 is collected from sandy soil i.e. sandy (cotton)

Judge Dataset 4 is collected from sandy soil i.e. sandy (wheat)

The accuracy of Clay (Cotton) is 82.93% during training. In Clay (Cotton) true good is 33.33% and true average is 66.67% and true bad is 96.55% so the overall accuracy rate of Clay(Cotton) is 82.93%.  

Benefits of the Project

It can determine when a farm/land needs to be watered based on local weather data. It will help you to have better control on your landscape and irrigation needs. It will save a substantial amount of money on your water bills as it cuts water wastage significantly.Soil is passionately way of life which contain diversity of Animalia and foliage which play important role to maintain soil quality. The responsibility of soil micro-organisms for decay organic matter in soil. Soil quality determination is the stability of the natural cycle of soil. Assessment of the soil quality is important for sustainable development in agriculture.  It has good features for gardening, lawns, and shrubs.  Loamy soil has a great structure, adequate drainage, preserves moisture, is full of nutrients, is easily cultivated and quickly warms in spring but does not dry out quickly in summer. Loamy soil regularly provide replenishment with organic mater, and tend to be acidic. Loam soil are ideal for cultivation plants as sand, silt and clay together have desirable features. First, the different-sized particles leave spaces in the soil for air and water to flow and roots to penetrate. The roots of the suspended water depend upon the minerals.One of the benefits of using IoT in soil quality accessment is the increased agility of the processes. Thanks to real-time monitoring and prediction systems, farmers can quickly respond to any significant change in weather, humidity, air quality as well as the health of each crop or soil in the field.A soil sensor enables you to schedule irrigation events more efficiently by either increasing or decreasing their frequency and/or intensity, not to wash off valuable nutrients or, on the contrary, leave the plants thirsty.

Technical Details of Final Deliverable

In this project we developed an intelligent Soil Quality Assessment System based on sensors. So current solution consist of two component. First component integrate Arduino UNO which used to sense soil quality attribute by using the sensors i.e. resistive, capacitive soil moisture sensor and soil pH sensor. In second component we used Information Gain and Entropy to give efficient decision status of Soil Quality Assessment. Our current decision tree component is divided input in to three potential decision classes depend on their value i.e. Good, Average and Bad.

we associated two types of crops and soil i.e. Clay (Cotton), Clay (Wheat), Sandy (Cotton) and Sandy (Wheat).not only to monitor two type of soil and crops but also judge different type of soil and  different types of crops.Notice of soil quality is checked by SMS further it will sent by the email.Android application will intended to collaborate with all the associated soil.Refining graphical interface of soil to observe the quality of soil by android application

Final Deliverable of the Project HW/SW integrated systemCore Industry AgricultureOther IndustriesCore Technology Internet of Things (IoT)Other TechnologiesSustainable Development Goals Decent Work and Economic GrowthRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	71500
soil moisture sensor	Equipment	1	7000	7000
wifi module ESP8266	Equipment	1	10000	10000
Rain sensor	Equipment	1	8000	8000
temperature and humidity sensor	Equipment	1	31500	31500
controller	Equipment	1	5000	5000
documentation	Miscellaneous	1	5000	5000
stationery	Miscellaneous	1	5000	5000