AU2021103425A4 - An IOT Based Portable System for Automatic Irrigation and Fertilizer. - Google Patents

Abstract

An IOT based mostly moveable System for Automatic Irrigation and fertilizer. ABSTRACT An IOT Based Portable System for Automatic Irrigation and Fertilizer is a country wherever water scarceness is Janus-faced in virtually each region, whenever it's coming back to famer's purpose of read this example is extremely worst. Most of the farmers don't seem to be obtaining correct water and anticipating monsoon season for growing any crops in their field. Even most of farmers are taking one crop in a very year, that is completely a waste of resources because of lack of water in those various areas. For an ideal answer for this water drawback, we will give micro-irrigation method here. we will collect great amount of waste water/ rainy water in huge areas and later, we will provide this water to various field to crop the filed. For this, we have a tendency to use web of Things (IoTs) as wireless sensors here to produce actual quantity of water to a specific area/ region. for instance, sugarcane crop needs less quantity of water or once in a very month. For obtaining data a couple of crops like sugarcane, wireless sensors (IoTs) ought to be mounted in varied places of the sector. The sensors can collect the knowledge (input parameters) like temperature, air wetness, soil wetness, wind speed and radiation, and store this data within the information. Here for our system, input parameters are going to be air, temperature, soil wetness, radiations and wetness and supported these inputs we are going to realize demand of water in and can complete demand of water through micro-irrigation method to it area. 10 TOTAL NO OF SHEET: 003 NO OF FIG.: 03 Wate evel Tempirafttug Hmidity IMir indicatr 1Q1Cig Senso Senso 102 160 08 Transmitter zi wsamfl unase122 RELA112 - otor 122 A mutiationL *Raw Fiur 1:a->Dt T Ainio--Ito bsed Iriata oion - nd edition Sy stem zaio

Description

TOTAL NO OF SHEET: 003 NO OF FIG.: 03

Wate evel Tempirafttug Hmidity IMir indicatr 1Q1Cig Senso Senso

102 160 08

Transmitter zi wsamfl

unase122

RELA112 - otor

122

A mutiationL

*Raw Fiur 1:a->Dt T Ainio--Ito bsed Iriata oion - nd edition Sy stem zaio

Australian Government IP Australia Innovation Patent Australia

An IOT Based Portable System for Automatic Irrigation and Fertilizer.

Name and address of patentees(s): Dr. Yusuf Ale Salam (Associate Professor) Department of Civil Engineering School of Engineering & Technology, Jaipur National University, Jaipur-302017, RJ, India. Ram Avtar (Assistant Professor) University Institute of Engineering and Technology, Kurukshetra University Kurukshetra 136119, Haryana India. Amit Kumar (Assistant Professor) Department of Civil Engineering, University Institute of Engineering and Technology, MDU University Rohtak 124001 Haryana, India. Dr. Jaipal Saroha (Associate Professor) Department of Instrumentation, Kurukshetra University Kurukshetra 136119, India. Dr. Manoj Prasad Badoni (Assistant Professor) Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala-147001, Punjab, India. Prof (Dr.) Baswaraj Gadgay (Regional Director) Visvesvaraya Technological University (VTU), Regional Campus, Kalaburagi-585105, Karnataka, India. Dr. S. Subasree (Professor and Head) M.Tech., Ph.D., Computer Science and Engineering, Nehru institute of Engineering and Technology Coimbatore, TN, India. Dr. Shubhangi Digamber Chikte (Professor) Department of computer science and Engineering, Visvesvaraya Technological university(VTU), center for PG studies, KALABURAGI-585105, Karnataka, India. Dr. N. K. Sakthivel M.Sc., Ph.D., M.Tech., Ph.D. Dean - Academic Affairs, Nehru Institute of Technology, Thirumalayampalayam, Coimbatore-641 105, TN, India. Shabnam Kumari (Research Scholar (Full Time) SRMIST University, Chennai, Tamilnadu, India. Complete Specification: Australian Government.

FIELD OF THE INVENTION

[500] The IoT device (e.g., ZigBee) will track and monitor the soil temperature based on moisture, humidity, etc. Once Water level indicator for required land will be reached to the below condition (by fixed value) then valve or motor can be ON and irrigation process can be done for the require land. In this, the IoT based system connects each IoTs to valve, motor and irrigation/ Fertigation tank.

BACKGROUND OF THE INVENTION

[502] According to GDP of India, India is far behind in GDP contribution than other sectors like service and manufacturing. This is because no proper electricity is provided to rural area and if electricity is provided then proper utilization of power/ water is not done by farmer of that particular area.

[504] For example, if farmer faces any issue in irrigation and Fertigation then he waits for long time to provide water to his crops, because in many larger areas few people have borewell and every farmer cannot handle the cost of borewell, i.e., its maintenance and other expenses. So, most of the farmer take water based on rent (may be per day or per hour) or wait for rainy season to growing their crop in their fields.

In summary, two problems are here:

1. Water Scarcity 2. Power failures at dynamic time

[506] Here, during this invention we have a tendency to target initial drawback solely. Water inadequacy is additionally increasing at a fast rate everyplace, or in different words water level goes below in each a part of Bharat and different countries. So, we have a tendency to need to search out appropriate, economical technique to store rain water in huge tanks and at needed time, with the assistance of motor, we will offer micro-irrigation to every and each space of AN agriculture land.

[508] Then, through this method, we are going to harvest rain water and dependency on different water additionally are reduced. Note that IoTs play a serious role during this method to spot needed water at explicit space or agriculture land. IoTs received inputs air (its speed), temperature, soil wetness, radiations and humidness and supported these inputs we are going to realize demand of water in and can complete demand of water through micro-irrigation method thereto area.

[510] The victimisation applicable technique, ecological conditions, Evapotranspiration, numerous growing stages of crops square measure thought of and supported that the quantity of water needed for irrigation is calculable.

[512] In farming, the water system could be a basic procedure that impacts crop generation by providing water to the specified land. Ranchers got to visit their property to visualize what proportion water is needed for his or her field.

[514] This water system technique takes heaps of your time and travail particularly once a farmer has to flood various business enterprise fields distributed in numerous earth science regions. usually, ranchers can exhibit in their farms to hold out the water system method. Be that because it could, these days' ranchers have to be compelled to do their agricultural actions together with different occupations.

[516] Robotize in water irrigation system framework permits to form farmer work heaps less tight. Sensor based processed water system framework provides a promising account farmer wherever the distance of rancher within the field is not necessary. Presently multi day's internet is mostly utilised. Utilizing internet farmer worries the farming field water system gift condition. supported this, moveable applications are helpful in satisfying this reason.

[518] It encourages farmers to understand the standing of homestead field moistness and temperature through an ingenious application and it'll create the rancher at some remote spots to settle on whether or not he has to water the sphere or not. sensible farming could be a conception quickly catching on within the agricultural business. providing high precision crop management, helpful knowledge assortment, and automatic farming techniques, there square measure clearly several blessings a networked farm should provide.

[520] A Thing, within the net of Things, may be an individual with a monitor implant, a livestock with a microchip electrical device, AN automobile that has built-in sensors to alert the motive force once tire pressure is low -- or the other natural or synthetic object that may be assigned AN information science address and given the power to transfer knowledge over a network. These devices collect helpful knowledge with the assistance of assorted existing technologies and so autonomously flow the information between different devices. Current market examples embody sensible thermostat systems and washer/dryers that utilize Wi-Fi for remote watching.

OBJECTIVES OF THE INVENTION 1. The Objective of the invention is to a IOT Based Portable System for Automatic Irrigation and Fertilizer is a country wherever water scarceness is Janus-faced in virtually each region, whenever it's coming back to famer's purpose of read this example is extremely worst. Most of the farmers don't seem to be obtaining correct water and anticipating monsoon season for growing any crops in their field. 2. The other Objective of the invention is to a Even most of farmers are taking one crop in a very year, that is completely a waste of resources because of lack of water in those various areas. For an ideal answer for this water drawback, we will give micro-irrigation method here. we will collect great amount of waste water/ rainy water in huge areas and later, we will provide this water to various field to crop the filed. 3. The other Objective of the invention is to a we have a tendency to use web of Things (IoTs) as wireless sensors here to produce actual quantity of water to a specific area/ region. for instance, sugarcane crop needs less quantity of water or once in a very month. For obtaining data a couple of crops like sugarcane, wireless sensors (IoTs) ought to be mounted in varied places of the sector. 4. The other Objective of the invention is to a sensor can collect the knowledge (input parameters) like temperature, air wetness, soil wetness, wind speed and radiation, and store this data within the information. Here for our system, input parameters are going to be air, temperature, soil wetness, radiations and wetness and supported these inputs we are going to realize demand of water in and can complete demand of water through micro-irrigation method to it area. 5. The other Objective of the invention is to a IoT based mostly moveable irrigation and Fertigation system and also the Alarm based mostly irrigation system with providing real time data to farmer, i.e., concerning soil's wetness. 6. The other Objective of the invention is to a Smart cheap inexpensive irrigation and Fertigation system and also associate IoT device offers enough data concerning needed quantity of water to a specific space (slope/ curve). 7. The other Objective of the invention is to a ANN controller is employed to produce comparison among needed soil wetness with actual soil wetness and also Two ZigBee are accustomed transmit and receive communication signals.

SUMMARY OF THE INVENTION

[522] In our invention, we are storing rainy water in big area and later we are using this water for irrigation and Fertigation process with the help of IoT devices. Our invention will work for all those farmers who have: 1. Do not their own borewell and depend on other borewell 2. Not have any borewell, and complete depend on rainy season for growing their crops.

LIST OF PREFERRED AND OPTIONAL FEATURES

1. Device to device communication could be established for increasing the production of crops 2. Device to device communication could be established to reduce the wastage of water in irrigation 3. Irrigation and Fertigation process can be done at very possible place (slope, curvy, etc.) of an agriculture land.

[524] In this system the system consists of sensing units such as soil moisture sensor, temperature sensor to measure water content of the soil and the atmosphere temperature respectively and a Wi-Fi module in the transmission and receiving process for transmitting data from sensors to mobile phone and receiving commands from mobile phone. According to PH value of soil, a list of best suited crop is selected from all crop databases. Values of different monitoring parameters like temperature, humidity, moisture and pH are shown on mobile apps. All the info is hold on an information. Algorithm 1. Initialize the system. 2. Gather different sensor's values (like temperature, moisture and pressure, Air index, etc). 3. Compare values from sensor with the threshold value; also, you can calibrate the same. 4. If value from temperature, water level, humidity is greater than threshold value then goes to step 5 else go to step 2. 5. On the water motor. Update this information on cloud and send a message to the farmer. Go to step 8. 6. If value from the moisture sensor is less than threshold value then goes to 7 else go back to step 2.

7. Turn OFF the motor and update this information for the user. Send a message to the user. 8. stop

Proposed irrigation system

[528] The work conferred during this paper aims at proposing a handy and user-friendly automatic irrigation system. As many folks are moving towards growing veggies reception, the system finds its application in organic farming, vertical horticulture, curtilage vegetation, etc. It collaborates with the newest IoT technology and intelligent sensors for sensing the requirements of the planted veggies.

[530] A broad design of the projected system and its segments is given by Figure three. The system deals with environmental parameters and therefore the soil water content for deciding concerning irrigating the plants, and contains of sections given below: Sensing segment:

[532] It uses the sensors to fetch the specified information and compress them for additional process. it's achieved victimization the sensing and compression portion. process segment:

[534] It will all the info process on the info given by the sensing block and will the choice be creating for irrigation. mechanism phase:

[536] It takes action as per the command given by the process segment. It controls the motor relay and sends alerts to the user as seen in mechanism. System illustration the projected system consists of the subsequent components: Sensors:

[538] Used for obtaining the physical information and providing them for additional process. Temperature and humidness (Wang and Chi, 2016) and soil water content sensors (Feuer, 1995) are utilized in the work. Controller:

[540] it's the core part of the sensing phase that management the sensors, reads information from them, keeps the info backup on a server for process and deciding. process and information backup:

[542] The sensing element information is hold on the server and therefore the processing and deciding is finished here. It sends AN attentive to the user and therefore the call to the mechanism unit. Actuators:

[544] These take output from the process phase, management the water pumps for irrigation and send mail alerts regarding the standing to the user for manual operation if needed.

[546] Sensing phase It consists of the sensors, a controller board for managing the sensing elements and a sensor information compression module. during this work the sensors used for crop Care, a temperature and humidness sensing element for obtaining the close conditions and, a soil wetness sensing element.

[548] This phase senses the info, compresses this information and stores it on an FTP server. The provides its design and therefore the practicality is given by algorithmic rule two. Here, a novelty is instigated by incorporating a knowledge compression module that uses the algorithmic rule one to compress the info. the requirement of sensing element information compression:

[550] The sensors deep-seated within the plants produce significant and redundant information, that consumes huge memory and a lot of information measure for transmission. it's so advantageous to initial compress and thenceforth transfer the compressed data to the server. additionally, the sensing element information during this case isn't confidential so there's a scope for manageable minor error once reconstruction. this is often achieved victimization algorithmic rule one, wherever the input angles:

[552] i/16, 2T/16 and 4r/16 severally yield a, b and d DCT coefficients. it's benefited because it uses fastened three iterations and parallels performs them to beat information dependency (Maher et al., 2009) drawback with typical CORDIC, so playacting it quicker with solely few procedure steps. The obtained coefficients are wont to compress the sensing element information with Another approximation introduced at this stage that involves computing solely sixteen most important parts rather than all sixty-four parts for an 8x8 information block.

[554] The compressed information is then uploaded to AN FTP server wherever it's reconstructed victimization identical algorithmic rule and is employed for additional process and deciding.

[556] An automated irrigation detector was designed and enforced to use in agricultural crops. The detector uses a smartphone to capture and method digital pictures of the soil near the basis zone of the crop, and estimates optically the water contents. The detector is confined in an exceedingly chamber beneath controlled illumination and buried at the basis level of the plants. associate degree automaton App was developed within the smartphone to work directly the computing and property elements, like the photographic camera and therefore the Wi-Fi network.

[558] The mobile App wakes up the smartphone, activating the device with user-defined parameters. Then, the integral camera takes an image of the soil through associate degree associate degree tire elective glass window and an RGB to grey method is achieved to estimate the quantitative relation between wet and dry space of the image. when the Wi Fi association is enabled, the quantitative relation is transmitted via a router node to an entryway for management associate degree irrigation pump.

BRIEF DESCRIPTION OF THE DIAGRAM Figure 1: An IoT based Irrigation and Fertigation System.

Figure 2: Flow chart - Complete Process of all Communication Channels. Fig.3: All Sensor.

DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS

[560] The projected IoT based mostly handheld moveable device contains of ZigBee, LCD show, Wi-Fi module (ESP8266), ARM seven processor (micro controller) and an influence offer. Also, Keil C p vision software system, ANN model (as controller for creating comparison/ taking decision) is employed to simulate this work. victimization sensors, air (its speed), temperature, soil wetness, radiations and humidness area unit checked as parameters.

[562] The victimization acceptable technique, ecological conditions, Evapotranspiration, varied growing stages of crops area unit thought of and supported that the number of waters needed for irrigation is calculable. Our irrigation controller's area unit supported ON/ OFF Model.

[564] The proposed irrigation system monitors solenoid valves for specified location of drips automatically according to the set point of sensors. The irrigation and fertigation system monitors solenoid valves for specified location of same drips manually according to the field condition.

[568] It also senses the water level of the tank, whenever the water level is too low or overflows the system immediately provides an alarm and automatically switches to ON/ OFF motor respectively. ZigBee receive communication signals from the sensor network and irrigation controller and transmit these signals to the base station, this information is stored in a database and later download by data scientist for analysis purpose. Hence, our intelligent control system is used for effective irrigation scheduling in slope or curve areas for avoiding water-wastage/ saving water. Algorithm 1

a. Collect the details from field using sensors. b. Calculate the water requirement using Evapotranspiration model. c. Compare the output of the Evapotranspiration model with required soil moisture with the help of ANN controller. d. Control the valves position Note that following steps are used in our invention 1. Input from Sensors 2. Evapotranspiration Model 3. Required Soil Moisture 4. ANN Controller 5. Valve - ON/OFF 6. Motor - ON/ OFF

Processing section:

[570] Its practicality is enforced at the server finish that uses the compressed information and reconstructs it when parsing is completed as seen from Figure 3(c). The operating of process section is given by algorithmic rule three, that takes the compressed information and reconstructs it for additional process and deciding.

[572] this can be done victimization corn programming (Keller, 1999) at the server finish that uses the antecedently trained NN shown in Figure 3(d) to come up with a correct output. This generates associate degree e-mail and sends it to the user and additionally sends it to the mechanism unit, so permitting each automatic and manual handling of the irrigation unit.

Actuator section:

[574] The algorithmic rule four depicts the operating and Figure 3(e) shows the diagram of this unit. the choice taken by the process section is distributed here thus on management the irrigation offers to the crops and send mail alerts to the user concerning current standing. Mail notification is distributed to the user victimization SMTP slave controller also receives the choice and acts consequently.

[576] The simulation results for the detector information compression module, the reconstructed output information, call victimization neural network and connected parameters are mentioned within the next section.

[578] An automated irrigation system was developed to optimize water use for agricultural crops. The system contains a distributed wireless network of soil moisture and temperature sensors placed within the root zone of the plants. additionally, an entryway unit handles detector data, triggers actuators, and transmits information to an online application. associate degree algorithmic rule was developed with threshold values of temperature and soil wetness that was programmed into a microcontroller based entryway to regulate water amount.

[580] The system was supercharged by electrical phenomenon panels and had a duplex communication link supported a Cellular-Internet interface that allowed for information review and irrigation programming to be programmed through an online page.

[582] Wireless device Network based mostly machine-controlled irrigation system for optimize water use for agricultural purpose. The system consists of distributed wireless device network of soil wetness, and temperature sensors placed within the crop field. To handle the device data Zigbee protocol used associated management the water amount programming victimization an algorithmic rule with threshold values of the sensors to a microcontroller for irrigation system.

[584] The system has battery-powered by solar battery and Cellular web interface for information review. A wireless camera is mounted in crop field to observe the unwellness space victimization image process technique. The system is low price and energy autonomy helpful in water restricted geographically isolated areas.

[586] The maintenance of even a little garden gets tedious from time to time within the urban state of affairs. a completely machine-controlled system that optimizes the employment of energy and water resources is that they would like of the day.

[588] This result in a style and implementation of an extremely energy economical, multimode management for an automatic irrigation system. The system uses associate unmoved soil wetness potential mensuration and also the programmed information to irrigate a desired space.

[590] As to this example, associate intelligent fertilization system is given, which may understand automatic irrigation, fertilization, injecting fertilizer and admixture fertilizer. The paper introduces the system structure, style of piping system and pc system, and 3 management algorithmic rules: fertilization management algorithm, injecting fertilizer and admixture fertilizer management algorithmic rule and system priority algorithmic rule. The experimental result proves that this method features a sensible quality for EC and pH scale adjustment, steady performance and sensible usefulness.

[592] There are several applications in IoT, that addresses the foremost issues like soil wetness detection, conservation management, crop growth observation, etc., This project allows higher and smarter irrigation through temperature, wetness and different sensors networked to speak with the user. For farmers and growers, web of Things has provided extraordinarily productive ways that to cultivate soil with the employment of low cost, easy to-install sensors associated an abundance of perceptive information they provide.

[594] Soil wetness is that the water that's control within the areas between soil particles. the foundation zone soil wetness is that the water that's offered to the plants, that is usually thought of to be within the higher two hundred cm of soil.

[596] Electrical conductivity (EC) may be a mensuration of the dissolved material in associate solution, that relates to the power of the fabric to conduct current through it. EC is measured in units referred to as Siemens per unit space. Higher the dissolved materials within the soil, higher the EC are going to be in it. just like EC, pH scale of the soil measures the acidity of the soil supported cation concentration in it.

[598] The pH scale of the soil ranges on a scale from 1-14, wherever pH scale 1-6 are acidic, pH scale seven is neutral, pH scale 8-14 are basic. The optimum pH scale vary for many of the plants is between 5- to 7. supported the pH scale price the soil nutrient level is outlined.

[600] Temperature is another parameter that's measured during this project. This price helps in conservation of water used for irrigation. albeit the soil wetness is a smaller amount, if the temperature isn't too high then the irrigation to the crop is restricted. this as a result of several plants can face up to low wetness conditions once the temperature is moderate.

[602] The victimization applicable technique, ecological conditions, Evapotranspiration, varied growing stages of crops are thought of and supported that the number of waters needed for irrigation is calculable. This model can result in avoid scarceness of water for sugarcane or different crops throughout the traditional seasons and can save water for future crops.

Note:

[604] That this automatic irrigation victimization IoTs devices within the field of each plain and slope areas. the most objective is to produce uniform and needed level of water avoid water overflow at the slope areas. The projected irrigation system monitors magnet valves for specific location of drips mechanically per the point of sensors.

WE CLAIMS 1. An IOT Based Portable System for Automatic Irrigation and Fertilizer is a country wherever water scarceness is Janus-faced in virtually each region, whenever it's coming back to famer's purpose of read this example is extremely worst. Most of the farmers don't seem to be obtaining correct water and anticipating monsoon season for growing any crops in their field. Even most of farmers are taking one crop in a very year, that is completely a waste of resources because of lack of water in those various areas. For an ideal answer for this water drawback, we will give micro-irrigation method here. we will collect great amount of waste water/ rainy water in huge areas and later, we will provide this water to various field to crop the filed. For this, we have a tendency to use web of Things (loTs) as wireless sensors here to produce actual quantity of water to a specific area/ region. for instance, sugarcane crop needs less quantity of water or once in a very month. For obtaining data a couple of crops like sugarcane, wireless sensors (loTs) ought to be mounted in varied places of the sector. The sensors can collect the knowledge (input parameters) like temperature, air wetness, soil wetness, wind speed and radiation, and store this data within the information. Here for our system, input parameters are going to be air, temperature, soil wetness, radiations and wetness and supported these inputs we are going to realize demand of water in and can complete demand of water through micro irrigation method to it area. 2. According to claims# The invention is to a loT based mostly moveable irrigation and Fertigation system and also the Alarm based mostly irrigation system with providing real time data to farmer, i.e., concerning soil's wetness. 3. According to claiml,2# The invention is to a Smart cheap inexpensive irrigation and Fertigation system and also associate loT device offers enough data concerning needed quantity of water to a specific space (slope/ curve). 4. According to claiml,2,3# The invention is to a ANN controller is employed to produce comparison among needed soil wetness with actual soil wetness and also Two ZigBee are accustomed transmit and receive communication signals.

TOTAL NO OF SHEET: 003 NO OF FIG.: 03 17 Jun 2021 2021103425

Figure 1: An IoT based Irrigation and Fertigation System

TOTAL NO OF SHEET: 003 NO OF FIG.: 03 17 Jun 2021 2021103425

Figure 2: Flow chart - Complete Process of all Communication Channels

TOTAL NO OF SHEET: 003 NO OF FIG.: 03 17 Jun 2021 2021103425

Fig.3: All Sensor