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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2950
IoT BASED FERTILIZER INJECTOR FOR AGRICULTURAL PLANTS
M. Akshaya1, P.R. Kavipriya2, M. Yogapriya3, Mrs. R. Karthikamani4
1,2,3Student & Bannari Amman Institute of Technology, Tamilnadu, India
4Professor, Dept. of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology,
Tamilnadu, India
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - Agriculture is very important thing for everyone.
Farmers counting are reduced day by day, sothatautomation
is implemented in agriculture. In farming processhavealotof
work like a planting, watering, fertilizing, etc. In this project
the fertilizers are sprayed by the pump by the commands are
given by the user.Here the fertilizer and water are in the tank
with segment. The NPK fertilizer and water are in the tank
with segment. It consist of three mode from which the user
can select among these mode In manual mode the ratio of
fertilizers and water is given by the user. In Auto mode the
ratio of fertilizer and water is selected automatically by
knowing the name of plant. In Smart mode the name of the
plant ,ratio of fertilizer and water is automatically and it is
given by atmosphere temperature, moisture and crop data.
The user enter the type of plant and enter their preferred
mode by using mobile that system will mix the need fertilizer
with water and sprayed to the plant through the sprayer
machine.
Key Words: Fertilizer, Manual mode, Auto mode,
Smart mode, Plant, temperature, humidity.
1. INTRODUCTION
India is one of the agricultural country and its climatic
conditions randomly change in many times .Farmers are
facing drought condition.Soilplaysamajorroleinagriculture
.There are different types of soil for the crop yield. The
technique of offering vital vitamins to vegetation by
delivering fertilizer aggregate at the side of the irrigation
water is called fertigation.
Based onthe typeof soil ,Fertilizer can beinjectedtosoil
for the better crop yield production. Fertigation assureequal
distribution of fertilizers to all of the vegetation and better
absorption of nutrients. Based on recent technology, the
climatic condition like temperature, humidity, moisture and
Ph in the soil can be analyzed and fertilizer like nitrogen,
phosphorous and potassium is injected to the flora.
The soil fertility and soil type plays a vital role in
agriculture and to check the availability of ground water and
rainfall in crop yield production can be improved . There are
two types of agricultural landthat is dry landandwetland.In
dry land ,the cash crops yield more profit for farmers and in
wetland wheat and sugarcane yield more profit for farmers.
There are different types of agro climatic regionsinIndiaand
among the types of regions can be divided. The ultimate aim
of the project is achieving the maximum crop at minimum
yield.
Fertigation assure the identical distribution of fertilizers to
all the plants and higher absorption of nutrients. This paper
offers with designing an automatic fertigation machine as a
way to perform the manner of nutrient delivery and water
management in a controlled and unique manner.
Implementingan automatic fertigationsystemwillstoretime
and assets because vitamins and water are given required
amount thereby in addition growing the performance and
final results of agriculture.
In efficient control of nutrient inputs has placed a big
constraint at the environment and human’s health. The
unsystematic use of nitrogen and phosphorus fertilizers has
caused floor water pollutants.Sothefarmershaveconsidered
this as a highly attention to nutrient and water management
and incorporate the concept of balanced plant nutrition and
moisturecontent material ofsoilintotheirfarmingstrategies.
Thereforean automatedfertigationmachinethatreducesthe
water and fertilizer wastage thereby heading off overuse is
wanted to overcome the shortcomings..
Inappropriate use of N, P and K leads to the pollution of the
ground water stages. With the assist of this method it's
important viable to maintain a tab on the amount of N, P and
K provided and can control the floor water pollutants.
Continuous water tracking will lead to powerful control of
water..
Agriculture is a very essential for everyone’s life. now a days
agriculture reduces because of farmers revenue.so we have
initialize automation in agriculture. Agricultre consist of
planting, watering, fertilizing.
By comparing these three methods fertilizing is a most
complex process. In this project we have a solution for this
complex process. By using IOT the amount of fertilizer will
be injected automatically.
Here the fertilizer and water are in the tank with
segment. The user enter the type of plant and enter their
preferred mode by using mobilethatsystemwillmixtheneed
fertilizer with water and sprayed to the plant through the
sprayer machine.
This projectgivesa model to beparticularandcorrectin
predicting crop yield and supply the user with right hints
approximately required fertilizer ratio based totally on
atmospheric like temperature, humidity, moisture and soil
parameters like NPK of the land which decorate to boom.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2951
The Moisture Sensor can be used to detect the soil
moisture in land or judge if there is moisture across the
sensor,allow the flora foryourlawnreachoutforhumanhelp.
LM35 is a precision IC temperature sensor with its
output proportional to the temperature (in oC). The sensor
circuitry is sealed and consequently it isn't always subjected
to oxidation and differentstrategies.WithLM35,temperature
may be measured extra as it should bethanwithathermistor.
It additionally process thelow self heatinganddoesnolonger
motive extra than zero 0.1 oC temperature.
Moisture sensors choose up adjustments in the
resistance value of the sensor element in response to the
trade inside the moisture. Thick film conductor ofmetals like
porous is printed and calcinated inside the form of the comb
to shape an electrode. Then a polymeric film is applied at the
electrode; the movie acts as a moisture sensing film because
of the life of movable ions.
2. LITERATURE SURVEY
[1] Savitha N. Ghaiwat , et. al., proposed that Prediction of
Crop Yield and the Efficient use of Fertilizers[1] India is an
agriculture country and its finanace mainly depends on
agriculture yield production is boom and agro industry
products. Data analysis is an increasing research subject in
analysis of crop yield.The crop Yield prediction is a serious
issue in agriculture
[2] Sanjay B. Dhaygude, et. al., proposed that A farmer
fascinate is by knowing how maximum production of crop
should beyielded. Analyze the diverse relatedattributeslike
region, pH fee from which alkalinity ofthesoil isdetermined.
Added to that, percentage of nutrients like Nitrogen(N),
Phosphorous (P), and Potassium (K) Location is used
alongside with the usage of applications like APIsforclimate
and temperature, sort ofmud, peptic valueofthemudinthat
place, quantity of rainfall inside the nearby places, soil
composition canbedecided.All thosecompositionofdata can
bescrutiny, to knowtherecordswith heterogeneoussuitable
machine getting to know a designs for creating a version.
[3] Sabah Bashir, et. al., analysed the methodology..,
proposed a leaf disease detection. The importanttechniques
used here are Back Propagation Neural Network(BPNN),K-
nearest neighbour algorithm(KNN),Radial Basis
Function(RBF) andProbabilisticNeural Network(PNN).Back
Propagation Neural Network methodis easytoimplement as
well as wide range of problems are applicable but it isa slow
learning process. In Radial BasisFunction,thetrainingphase
is faster as well as the hidden layer is easily interpreted but
the execution process is very slow when the speed is
considered as the factor.
[4] Y.Q. Xia, et. al., used a method Distribution of fertilizer
systemin the past some years, but probableofICTisyetto be
this industry. This paper basically acesss the probability of
increasing the good result and successful of fertilizer
grouping system with a opinion ICT formation.The survey
based on, the need for computrized and administer of
fertilizer system especially in emerging country like India is
registered. This can help the farmers for the greater level of
recognition and understanding ofagriculture methods to be
assume in their farming capability for issue of fertilizers
[5] K. Padmavathi et. al., proposed a comparative study that
gives the RGB and gray scale image of the plant leaves. The
paper also configuration the growing businesssurroundings
with the[3] passes of the probability of the fertilizer
allocation system. Agriculture is the vital factor providing to
Indian Economy. According to the data its GDP sector
configuration is 21.15%.India is the largest producer of
agricultural products. Inorder to produce more agricultural
products without any devastation, technical advancement
are needed in this appropriate state. In research of
recognition of nitrogen inadequacy and prediction of
fertilizers usage by bleak, the images of chilly was detained
at two steps. Leaf part of plant is main factor in spotting of
nitrogen scarcity.
[6] Sachin D. Khirade et. al., Identification of the plant
diseases is the key to stopping the losses in the yield and
quantity of the rural product. Disease detection entails the
steps like picture acquisition, photograph pre-processing,
photograph segmentation, function extraction and
classification. This paper discussed the strategies used for
the detection of plant sicknesses using their leaves snap
shots.
[7] P.Revathi et. al., .Duringdistingutionofinadequadifferent
facet like quality facet region of the leaf image are estigate.
Feature uprooting is the prime keyforthediscoveringoflack
of nitrogen. The farmers usually have few control over the
usage of fertilizers. There is required for appropriate
enlightenment formaximum usage of these fertilizers and is
needed by farmers in the way to get high yields and supress
wastage. Research task put through so far only spot the
mallnourishment and disorder identification.
[8] Mr. Pramod S. Landge,et. al., In this advocate and
experimentally compare a software program answer for
automatic detection and category ofplantdiseasesvia Image
Processing. This paper addresses this hassle with the goal of
developing photo processing algorithms that could
understand issues in crops from pics, based totally on
coloration and texture.
[9] Heeb Al Bashish et. al., In this paper an picture-
processing-primarily based technique is proposed and used
for leaf and stem disorder detection. In step one of the
proposed approach, the photographs at handaresegmented
the usage of the K-Means method, within the 2nd step the
segmented pictures are handed via a pre-educated neural
network In this work identifies the nitrogen disorder in
arctic, regulate the place of region of insufficient region and
envision the amount of fertilizer usage by these insufficient
plants. Thus the identification of starvation is helpful to
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2952
farmer forproper observing of crop thickening and minimal
usage of fertilizers..
3 PROBLEM STATEMENTS
Drip irrigation is less wasteful than sprinklers. It
isn't always only extra green forfertilizer usage, but can also
be for maximizing nutrient uptake in vegetation like cotton.
Drip irrigation the usage offertigationcanalsoincreaseyield
and first-rate offruit and plants,especiallyinsubsurfacedrip
structures instead of above floor drip tape. Sprinkler
structures leaf and fruit fine. Continuous application-
Fertilizer is provided at a constant fee. Three- stage
application-Irrigation starts with out fertilizers. Fertilizers
are implemented later inside the method. Proportional
application-Injection fee is proportional to water discharge
rate. Quantitative software- Nutrientansweriscarriedoutin
a calculated amount to every irrigation block. Other
techniques of application encompass the lateral flow, solid
set structures. Concentration ofthe answermayadditionally
lower as the fertilizer dissolves, this depends on gadget
choice. If poorly decided on may additionally lead to bad
nutrient
3.1 BLOCK DIAGRAM
It consist of a tank with segment. If the user is enter the type
of plant by using mobile that system will mix the needed
fertilizer with water and sprayed to the plant through the
sprayer machine. In this block diagram,PIC16F877A
Microcontroller isaopensourceprogrammabledevicewhich
is programmed in MPLab compiler .5v Power supply is given
to microcontroller .It consistoftwo sensorstemperatureand
moisture sensor which is placed in the soil to sense the
temperature and moisture ratio.
Both the sensor are interfaced with microcontroller
temperatureandmoisturedatawillbecollectedcontinuously
in the IoT module and the data will bestored in the IoTcloud.
If there is any change in the predetermined data ,it will be
indicated in the mobile phone and the required amount of
fertilizer ratio will be displayed in the Liquid Crystal Display
Correlation: It gives the measure of pixel how it is correlated
to the neighbour of the whole image. The value is 1 or -1 for
perfect positive or negative image.
BLOCK DIAGRAM OF THE PROPOSED SYSTEM
4. EXISTING SYSTEM
By using efficient method ,the crop yield is predicted (back
propagation and random forest algorithm) and suggest how
much quantity of fertilizer should be used to get the proper
yield for the crop. Only atmosphere data are monitored on
mobile network. OnlypumpOn/Offactionisdone.Aneffortis
made with a view to understand the crop yield production
and is proceed by the Random Forest set of rules and Back
propagation set of rules. These fashions were experimented
with unique styles of crops in several places across India to
are expecting theoutcome.Thefertilizerstatisticsturnedinto
trained the usage of the Back propagation algorithm and
calculate to view the final outcome of a nitrogen,phosphorus
is needed for the region of land. Both the fashions for the
production of crop had been as compared in the output
predicting and via more parameters with recognize to the
fault rate. The random woodland algorithm and back
propagation wherein we were the fault detector is lesser to
the random forest algorithm in wooded area than the lower
back propagation
5. PROPOSED METHOD
The NPK fertilizer and water are in the tank with its a
Segment It consist of three mode from which the user can
select among these mode In manual mode the ratio of
fertilizers and water is given by the user. In Auto mode the
ratio of fertilizer and water is selected automatically by
knowing the name of plant. In Smart mode the name of the
plant ,ratio of fertilizer and water is automatically and it is
given by atmosphere temperature, moisture and crop data.
A pump is a device that movements fluids (drinks or
gases), or every now and then slurries, by means of
mechanical action. Pumps can becategorised into 3primary
groups in step with the approach they use to move the fluid:
direct carry, displacement, and gravity pumps. Pumps
function by using some mechanism (typically reciprocating
or rotary), and consume electricity to carry out mechanical
paintings by way of moving the fluid. Pumps function
through many strength assets, including manual operation,
strength, engines, or wind energy, are available many sizes,
from microscopic to beused in clinical programs to massive
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2953
commercial pumps. Mechanical pumps serve in a huge
variety of programs which includes pumping water from
wells, aquarium filtering, pond filtering and aeration, in the
car industry for water- cooling and fuel injection, inside the
energy enterprise for pumpingoilandnaturalgasolineorfor
running cooling towers. Inthe clinical enterprise,pumpsare
used forbiochemicalmethodsingrowingandmanufacturing
medicine, and as artificial replacements for body elements,
specifically the artificial heart and penile prosthesis.
6. RESULT
Npk fertilizer ratio is obtained by interfacing Pic
microcontroller with temperature, humidity and moisture
sensor using MpLab IDEsoftware. The program is burned in
microcontroller using pic kit3.
7. CONCLUSION
In existing system, only Prediction of the crop yield by
using the efficient method (black propagation and random
forest algorithm) and recommend the quantity of fertilizer
should beused to obtain theproper cropyieldproduction . It
monitors only atmosphere data on mobile network and the
pump On/Off action is done. The aim of this project is to
collect NPK fertilizer and water in the tank with segment. It
consist of three mode from which the user can select among
these mode. In manual mode theratiooffertilizersandwater
is given by which the plant and fertilizer is wellknownbythe
user . In Auto mode the ratio of fertilizer and water is
selected automatically by knowing only the name ofplantby
the user . In Smart mode ,theusercannotidentifythenameof
the plant, ratio of fertilizer and water so the name of the
plant, ratio of fertilizer and water will be suggested
automatically to the user. By sensing the temperature and
the moisture ratio in the soil and that data will be collected
continuously in the IoT module The collected data will be
stored in the IoT cloud. If there is any change in the
predetermined data ,it will be indicated in the mobile phone
and the required amount of fertilizer ratio will be displayed
in the Liquid Crystal Display
7. DATA ANALYSIS
Data analysis for several has done for example for one plant
sunflower amount of nitrogen is 4 percent, amount of
phosphorous is 5 percent, amount of potassium is 6 percent,
amount of water level is 15ml,range of temperature is 32
and range of humidity is 43.
REFERENCES
[1] Niketa Gandhi et al ," Crop Yield Forecasting of
Tropical Wet and Dry Climatic Zone of India for
riceUsing Data Mining perfomance",IEEE
International Conference on Advances in Computer
Applications (ICACA) March 2016,Vol.3,page
no.17.march 2017
[2] Snehal S.Dahikar, Dr.Sandeep V.Rode,"Analysisofcrop
yield for agricultural plants Using Artificial Neural
Network design ", International journal of innovative
and research in electrical, instrumentation and control
system March 2014, vol.2,page no.134-140.
[3] Y.Geng, study on “Crop Disease Diagnosis Based on
Image Recognition” University of science and
technology of China, Anhui, China, 2009.
[4] Chunxia Zhang, Xiuqing Wang, Xudong Li, "Design of
Monitoring and Control Plant DiseaseSystem Based
on DSP &FPGA", Second International Conference on
Networks Security Wireless Communications and
Trusted Computing,2010.
[5] Sabah Bashir, Navdeep Sharma“Remote area plant
disease detection using image processing” IOSR J
Electron CommunEng,2012.
[6] Mrunalini R. Badnakhe,PrashantR.Deshmukh,"Infected
Leaf Analysis and Comparison by Otsu Threshold
and k-Means Clustering", International Journal of
Advanced Research in Computer Science and Software
Engineering, vol. 2, no. 3, March 2012.
[7] Sanjay B. Dhaygude, Nitin P. Kumbhar“Agricultural
plant leaf disease detection using image
processing” Int J Adv Res Electr Electron
InstrumEng,2013.
[8] Savitha N. Ghaiwat, Parul Arora “Detection and
classification of plant leaf diseases using image
processing techniques” Int J Recent Adv EngTechnol,
2014.
[9] Wenjiang Huang, Qingsong Guan, Juhua Luo, Jingcheng
Zhang, Linsheng Huang, Dongyan Zhang, "New
Optimized Spectral Indices for Identifying and
Monitoring Winter Wheat Diseases", IEEE journal of
selected topics in appliedearthobservationandremote
sensing, IEEE vol. 7, no. 6, June 2014.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2954
[10] Y.Q. Xia, Y.Li and C. Li, “Intelligent DiagnoseSystemof
Wheat Diseases Based on Android Phone,”J.ofInfor.
and Compu. Sci. 2015.
[11] K. Padmavathi and K. Thangadurai, “Implemetationof
RGB and Gray scale images in plant leaves disease
detection-comparative study,” Indian J. of Sci. and
Tech. 2016.
[12] Radha, Suja, “Leaf Disease Detection using Image
Processing”, Journal of Chemical and Pharmaceutical
sciences, March 2017.

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IoT-based fertilizer injector for agricultural plants

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2950 IoT BASED FERTILIZER INJECTOR FOR AGRICULTURAL PLANTS M. Akshaya1, P.R. Kavipriya2, M. Yogapriya3, Mrs. R. Karthikamani4 1,2,3Student & Bannari Amman Institute of Technology, Tamilnadu, India 4Professor, Dept. of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Tamilnadu, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Agriculture is very important thing for everyone. Farmers counting are reduced day by day, sothatautomation is implemented in agriculture. In farming processhavealotof work like a planting, watering, fertilizing, etc. In this project the fertilizers are sprayed by the pump by the commands are given by the user.Here the fertilizer and water are in the tank with segment. The NPK fertilizer and water are in the tank with segment. It consist of three mode from which the user can select among these mode In manual mode the ratio of fertilizers and water is given by the user. In Auto mode the ratio of fertilizer and water is selected automatically by knowing the name of plant. In Smart mode the name of the plant ,ratio of fertilizer and water is automatically and it is given by atmosphere temperature, moisture and crop data. The user enter the type of plant and enter their preferred mode by using mobile that system will mix the need fertilizer with water and sprayed to the plant through the sprayer machine. Key Words: Fertilizer, Manual mode, Auto mode, Smart mode, Plant, temperature, humidity. 1. INTRODUCTION India is one of the agricultural country and its climatic conditions randomly change in many times .Farmers are facing drought condition.Soilplaysamajorroleinagriculture .There are different types of soil for the crop yield. The technique of offering vital vitamins to vegetation by delivering fertilizer aggregate at the side of the irrigation water is called fertigation. Based onthe typeof soil ,Fertilizer can beinjectedtosoil for the better crop yield production. Fertigation assureequal distribution of fertilizers to all of the vegetation and better absorption of nutrients. Based on recent technology, the climatic condition like temperature, humidity, moisture and Ph in the soil can be analyzed and fertilizer like nitrogen, phosphorous and potassium is injected to the flora. The soil fertility and soil type plays a vital role in agriculture and to check the availability of ground water and rainfall in crop yield production can be improved . There are two types of agricultural landthat is dry landandwetland.In dry land ,the cash crops yield more profit for farmers and in wetland wheat and sugarcane yield more profit for farmers. There are different types of agro climatic regionsinIndiaand among the types of regions can be divided. The ultimate aim of the project is achieving the maximum crop at minimum yield. Fertigation assure the identical distribution of fertilizers to all the plants and higher absorption of nutrients. This paper offers with designing an automatic fertigation machine as a way to perform the manner of nutrient delivery and water management in a controlled and unique manner. Implementingan automatic fertigationsystemwillstoretime and assets because vitamins and water are given required amount thereby in addition growing the performance and final results of agriculture. In efficient control of nutrient inputs has placed a big constraint at the environment and human’s health. The unsystematic use of nitrogen and phosphorus fertilizers has caused floor water pollutants.Sothefarmershaveconsidered this as a highly attention to nutrient and water management and incorporate the concept of balanced plant nutrition and moisturecontent material ofsoilintotheirfarmingstrategies. Thereforean automatedfertigationmachinethatreducesthe water and fertilizer wastage thereby heading off overuse is wanted to overcome the shortcomings.. Inappropriate use of N, P and K leads to the pollution of the ground water stages. With the assist of this method it's important viable to maintain a tab on the amount of N, P and K provided and can control the floor water pollutants. Continuous water tracking will lead to powerful control of water.. Agriculture is a very essential for everyone’s life. now a days agriculture reduces because of farmers revenue.so we have initialize automation in agriculture. Agricultre consist of planting, watering, fertilizing. By comparing these three methods fertilizing is a most complex process. In this project we have a solution for this complex process. By using IOT the amount of fertilizer will be injected automatically. Here the fertilizer and water are in the tank with segment. The user enter the type of plant and enter their preferred mode by using mobilethatsystemwillmixtheneed fertilizer with water and sprayed to the plant through the sprayer machine. This projectgivesa model to beparticularandcorrectin predicting crop yield and supply the user with right hints approximately required fertilizer ratio based totally on atmospheric like temperature, humidity, moisture and soil parameters like NPK of the land which decorate to boom.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2951 The Moisture Sensor can be used to detect the soil moisture in land or judge if there is moisture across the sensor,allow the flora foryourlawnreachoutforhumanhelp. LM35 is a precision IC temperature sensor with its output proportional to the temperature (in oC). The sensor circuitry is sealed and consequently it isn't always subjected to oxidation and differentstrategies.WithLM35,temperature may be measured extra as it should bethanwithathermistor. It additionally process thelow self heatinganddoesnolonger motive extra than zero 0.1 oC temperature. Moisture sensors choose up adjustments in the resistance value of the sensor element in response to the trade inside the moisture. Thick film conductor ofmetals like porous is printed and calcinated inside the form of the comb to shape an electrode. Then a polymeric film is applied at the electrode; the movie acts as a moisture sensing film because of the life of movable ions. 2. LITERATURE SURVEY [1] Savitha N. Ghaiwat , et. al., proposed that Prediction of Crop Yield and the Efficient use of Fertilizers[1] India is an agriculture country and its finanace mainly depends on agriculture yield production is boom and agro industry products. Data analysis is an increasing research subject in analysis of crop yield.The crop Yield prediction is a serious issue in agriculture [2] Sanjay B. Dhaygude, et. al., proposed that A farmer fascinate is by knowing how maximum production of crop should beyielded. Analyze the diverse relatedattributeslike region, pH fee from which alkalinity ofthesoil isdetermined. Added to that, percentage of nutrients like Nitrogen(N), Phosphorous (P), and Potassium (K) Location is used alongside with the usage of applications like APIsforclimate and temperature, sort ofmud, peptic valueofthemudinthat place, quantity of rainfall inside the nearby places, soil composition canbedecided.All thosecompositionofdata can bescrutiny, to knowtherecordswith heterogeneoussuitable machine getting to know a designs for creating a version. [3] Sabah Bashir, et. al., analysed the methodology.., proposed a leaf disease detection. The importanttechniques used here are Back Propagation Neural Network(BPNN),K- nearest neighbour algorithm(KNN),Radial Basis Function(RBF) andProbabilisticNeural Network(PNN).Back Propagation Neural Network methodis easytoimplement as well as wide range of problems are applicable but it isa slow learning process. In Radial BasisFunction,thetrainingphase is faster as well as the hidden layer is easily interpreted but the execution process is very slow when the speed is considered as the factor. [4] Y.Q. Xia, et. al., used a method Distribution of fertilizer systemin the past some years, but probableofICTisyetto be this industry. This paper basically acesss the probability of increasing the good result and successful of fertilizer grouping system with a opinion ICT formation.The survey based on, the need for computrized and administer of fertilizer system especially in emerging country like India is registered. This can help the farmers for the greater level of recognition and understanding ofagriculture methods to be assume in their farming capability for issue of fertilizers [5] K. Padmavathi et. al., proposed a comparative study that gives the RGB and gray scale image of the plant leaves. The paper also configuration the growing businesssurroundings with the[3] passes of the probability of the fertilizer allocation system. Agriculture is the vital factor providing to Indian Economy. According to the data its GDP sector configuration is 21.15%.India is the largest producer of agricultural products. Inorder to produce more agricultural products without any devastation, technical advancement are needed in this appropriate state. In research of recognition of nitrogen inadequacy and prediction of fertilizers usage by bleak, the images of chilly was detained at two steps. Leaf part of plant is main factor in spotting of nitrogen scarcity. [6] Sachin D. Khirade et. al., Identification of the plant diseases is the key to stopping the losses in the yield and quantity of the rural product. Disease detection entails the steps like picture acquisition, photograph pre-processing, photograph segmentation, function extraction and classification. This paper discussed the strategies used for the detection of plant sicknesses using their leaves snap shots. [7] P.Revathi et. al., .Duringdistingutionofinadequadifferent facet like quality facet region of the leaf image are estigate. Feature uprooting is the prime keyforthediscoveringoflack of nitrogen. The farmers usually have few control over the usage of fertilizers. There is required for appropriate enlightenment formaximum usage of these fertilizers and is needed by farmers in the way to get high yields and supress wastage. Research task put through so far only spot the mallnourishment and disorder identification. [8] Mr. Pramod S. Landge,et. al., In this advocate and experimentally compare a software program answer for automatic detection and category ofplantdiseasesvia Image Processing. This paper addresses this hassle with the goal of developing photo processing algorithms that could understand issues in crops from pics, based totally on coloration and texture. [9] Heeb Al Bashish et. al., In this paper an picture- processing-primarily based technique is proposed and used for leaf and stem disorder detection. In step one of the proposed approach, the photographs at handaresegmented the usage of the K-Means method, within the 2nd step the segmented pictures are handed via a pre-educated neural network In this work identifies the nitrogen disorder in arctic, regulate the place of region of insufficient region and envision the amount of fertilizer usage by these insufficient plants. Thus the identification of starvation is helpful to
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2952 farmer forproper observing of crop thickening and minimal usage of fertilizers.. 3 PROBLEM STATEMENTS Drip irrigation is less wasteful than sprinklers. It isn't always only extra green forfertilizer usage, but can also be for maximizing nutrient uptake in vegetation like cotton. Drip irrigation the usage offertigationcanalsoincreaseyield and first-rate offruit and plants,especiallyinsubsurfacedrip structures instead of above floor drip tape. Sprinkler structures leaf and fruit fine. Continuous application- Fertilizer is provided at a constant fee. Three- stage application-Irrigation starts with out fertilizers. Fertilizers are implemented later inside the method. Proportional application-Injection fee is proportional to water discharge rate. Quantitative software- Nutrientansweriscarriedoutin a calculated amount to every irrigation block. Other techniques of application encompass the lateral flow, solid set structures. Concentration ofthe answermayadditionally lower as the fertilizer dissolves, this depends on gadget choice. If poorly decided on may additionally lead to bad nutrient 3.1 BLOCK DIAGRAM It consist of a tank with segment. If the user is enter the type of plant by using mobile that system will mix the needed fertilizer with water and sprayed to the plant through the sprayer machine. In this block diagram,PIC16F877A Microcontroller isaopensourceprogrammabledevicewhich is programmed in MPLab compiler .5v Power supply is given to microcontroller .It consistoftwo sensorstemperatureand moisture sensor which is placed in the soil to sense the temperature and moisture ratio. Both the sensor are interfaced with microcontroller temperatureandmoisturedatawillbecollectedcontinuously in the IoT module and the data will bestored in the IoTcloud. If there is any change in the predetermined data ,it will be indicated in the mobile phone and the required amount of fertilizer ratio will be displayed in the Liquid Crystal Display Correlation: It gives the measure of pixel how it is correlated to the neighbour of the whole image. The value is 1 or -1 for perfect positive or negative image. BLOCK DIAGRAM OF THE PROPOSED SYSTEM 4. EXISTING SYSTEM By using efficient method ,the crop yield is predicted (back propagation and random forest algorithm) and suggest how much quantity of fertilizer should be used to get the proper yield for the crop. Only atmosphere data are monitored on mobile network. OnlypumpOn/Offactionisdone.Aneffortis made with a view to understand the crop yield production and is proceed by the Random Forest set of rules and Back propagation set of rules. These fashions were experimented with unique styles of crops in several places across India to are expecting theoutcome.Thefertilizerstatisticsturnedinto trained the usage of the Back propagation algorithm and calculate to view the final outcome of a nitrogen,phosphorus is needed for the region of land. Both the fashions for the production of crop had been as compared in the output predicting and via more parameters with recognize to the fault rate. The random woodland algorithm and back propagation wherein we were the fault detector is lesser to the random forest algorithm in wooded area than the lower back propagation 5. PROPOSED METHOD The NPK fertilizer and water are in the tank with its a Segment It consist of three mode from which the user can select among these mode In manual mode the ratio of fertilizers and water is given by the user. In Auto mode the ratio of fertilizer and water is selected automatically by knowing the name of plant. In Smart mode the name of the plant ,ratio of fertilizer and water is automatically and it is given by atmosphere temperature, moisture and crop data. A pump is a device that movements fluids (drinks or gases), or every now and then slurries, by means of mechanical action. Pumps can becategorised into 3primary groups in step with the approach they use to move the fluid: direct carry, displacement, and gravity pumps. Pumps function by using some mechanism (typically reciprocating or rotary), and consume electricity to carry out mechanical paintings by way of moving the fluid. Pumps function through many strength assets, including manual operation, strength, engines, or wind energy, are available many sizes, from microscopic to beused in clinical programs to massive
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2953 commercial pumps. Mechanical pumps serve in a huge variety of programs which includes pumping water from wells, aquarium filtering, pond filtering and aeration, in the car industry for water- cooling and fuel injection, inside the energy enterprise for pumpingoilandnaturalgasolineorfor running cooling towers. Inthe clinical enterprise,pumpsare used forbiochemicalmethodsingrowingandmanufacturing medicine, and as artificial replacements for body elements, specifically the artificial heart and penile prosthesis. 6. RESULT Npk fertilizer ratio is obtained by interfacing Pic microcontroller with temperature, humidity and moisture sensor using MpLab IDEsoftware. The program is burned in microcontroller using pic kit3. 7. CONCLUSION In existing system, only Prediction of the crop yield by using the efficient method (black propagation and random forest algorithm) and recommend the quantity of fertilizer should beused to obtain theproper cropyieldproduction . It monitors only atmosphere data on mobile network and the pump On/Off action is done. The aim of this project is to collect NPK fertilizer and water in the tank with segment. It consist of three mode from which the user can select among these mode. In manual mode theratiooffertilizersandwater is given by which the plant and fertilizer is wellknownbythe user . In Auto mode the ratio of fertilizer and water is selected automatically by knowing only the name ofplantby the user . In Smart mode ,theusercannotidentifythenameof the plant, ratio of fertilizer and water so the name of the plant, ratio of fertilizer and water will be suggested automatically to the user. By sensing the temperature and the moisture ratio in the soil and that data will be collected continuously in the IoT module The collected data will be stored in the IoT cloud. If there is any change in the predetermined data ,it will be indicated in the mobile phone and the required amount of fertilizer ratio will be displayed in the Liquid Crystal Display 7. DATA ANALYSIS Data analysis for several has done for example for one plant sunflower amount of nitrogen is 4 percent, amount of phosphorous is 5 percent, amount of potassium is 6 percent, amount of water level is 15ml,range of temperature is 32 and range of humidity is 43. REFERENCES [1] Niketa Gandhi et al ," Crop Yield Forecasting of Tropical Wet and Dry Climatic Zone of India for riceUsing Data Mining perfomance",IEEE International Conference on Advances in Computer Applications (ICACA) March 2016,Vol.3,page no.17.march 2017 [2] Snehal S.Dahikar, Dr.Sandeep V.Rode,"Analysisofcrop yield for agricultural plants Using Artificial Neural Network design ", International journal of innovative and research in electrical, instrumentation and control system March 2014, vol.2,page no.134-140. [3] Y.Geng, study on “Crop Disease Diagnosis Based on Image Recognition” University of science and technology of China, Anhui, China, 2009. [4] Chunxia Zhang, Xiuqing Wang, Xudong Li, "Design of Monitoring and Control Plant DiseaseSystem Based on DSP &FPGA", Second International Conference on Networks Security Wireless Communications and Trusted Computing,2010. [5] Sabah Bashir, Navdeep Sharma“Remote area plant disease detection using image processing” IOSR J Electron CommunEng,2012. [6] Mrunalini R. Badnakhe,PrashantR.Deshmukh,"Infected Leaf Analysis and Comparison by Otsu Threshold and k-Means Clustering", International Journal of Advanced Research in Computer Science and Software Engineering, vol. 2, no. 3, March 2012. [7] Sanjay B. Dhaygude, Nitin P. Kumbhar“Agricultural plant leaf disease detection using image processing” Int J Adv Res Electr Electron InstrumEng,2013. [8] Savitha N. Ghaiwat, Parul Arora “Detection and classification of plant leaf diseases using image processing techniques” Int J Recent Adv EngTechnol, 2014. [9] Wenjiang Huang, Qingsong Guan, Juhua Luo, Jingcheng Zhang, Linsheng Huang, Dongyan Zhang, "New Optimized Spectral Indices for Identifying and Monitoring Winter Wheat Diseases", IEEE journal of selected topics in appliedearthobservationandremote sensing, IEEE vol. 7, no. 6, June 2014.
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2954 [10] Y.Q. Xia, Y.Li and C. Li, “Intelligent DiagnoseSystemof Wheat Diseases Based on Android Phone,”J.ofInfor. and Compu. Sci. 2015. [11] K. Padmavathi and K. Thangadurai, “Implemetationof RGB and Gray scale images in plant leaves disease detection-comparative study,” Indian J. of Sci. and Tech. 2016. [12] Radha, Suja, “Leaf Disease Detection using Image Processing”, Journal of Chemical and Pharmaceutical sciences, March 2017.