REMOTE MONITORING OF THE AGRICULTURAL CROP FOR THE POSSIBLE DISEASES AND EARLY DETECTION TO AVOID CROP LOSS

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1 REMOTE MONITORING OF THE AGRICULTURAL CROP FOR THE POSSIBLE DISEASES AND EARLY DETECTION TO AVOID CROP LOSS Pavithra VR 1, Ambili D Nair 2 1 Research Scholar, 2 Asst. Prof, Department of ECE, MVJ College of Engineering, Bangalore, Karnataka, India Abstract The advanced innovation of agrarian ventures are the present need in all aspects of agribusiness in India. The ailment of plants is absolutely controlled in this paper. Now and again agriculturist doesn't comprehend what sort of infection are influenced the plant and which kind of pharmaceutical give them to staying away from the sickness, and furthermore how much water must be provided to the one plant because of variations in the environmental conditions. In this application an android phone control is utilized to screen and keep up water system framework and steady environment conditions. The Android Software Development Kit gives the devices, applications and required Programmable Interface to begin creating applications on the Android stage. This application requires the GPRS highlight of cell phone as a determination for water system control framework. This application likewise utilizes the GSM for the communication. This communication is accomplished by utilizing the miss call and SMS. For the controlling and observing the gadgets rapidly and easily the remote control frameworks are extremely usefull. This paper proposes another engineering for the remote control of agribusiness gadgets and furthermore recognizing the illness of plant which makes the rancher's work significantly less demanding and less needy of the conditions display. Keywords: GSM, irrigation, accusation, agriculture, diseases, applications, HIS. I. INTRODUCTION An India is fundamentally a horticultural nation, and right around 75% of the wage depends on the agrarian creation, and every one of its assets rely upon the farming yield. In the farming office innovation are quickly changing, numerous programmed innovation are came in the market. It is basic to supply the exact amount of water as well as drug so as to get the most extreme creation yeild, and keep up adjust timing of water and medication. In the event that we give more than adequate water there might be opportunity to impact on the plant, at that point if plant get illness then how the farmer knows that which sort of sickness are affected to the plant and in what percent the plant is affected by the ailment with the goal that water assumes a principle part. The picture handling can be utilized as a part of the agrarian applications for the accompanying purposes: 1. For recognizing undesirable leaf, stem, natural product 2. To measure the influenced region because of infection. 3. For finding the influenced territory shape. 4. For deciding the influenced area color. 5. For deciding the organic products size and shape. 60

2 The malady administration is a noteworthy undertaking. Generally the sicknesses are seen on leaves or stems of the plant. The exact measurement of these outwardly watched sicknesses, attributes has not examined yet in light of the multifaceted nature of visual designs. Consequently there has been expanding interest for the more particular picture design understanding[1]. Fig 1: Various type of disease Diverse Types Of Leaf Spot Diseases: Bacterial illnesses Fungal illnesses Viral illnesses III.LITERATURE SURVEY Location of the Disease on the grape leaves and its conceivable conclusion by Mr. M. M. Kumbhar, S. N. Patil [3]. Where the shading and spot highlights could be gotten utilizing self sorting out element together with a back-generation neural organize. Zulkifli Bin Husin and Abdul Hallis Bin Abdul Aziz built up a quick and an exact technique in which the stew leaf maladies are recognized by utilizing a shading bunching strategy. Yinmao Song et al.developed include extraction techniques for the product infections in light of the PC picture preparing technology[3]. Booking and observing the farming assets by Mukesh Chaoudhary, Sumeet Dhote [4]. Where the real controlling of assets in the homestead is control by an implanted framework with the assistance of GSM-SMS convention. 1. GSM-SMS conventions by utilizing GSM module autonomously or in gathering with web Technologies. II. NEED Around 20 to 40% of the yields misfortunes because of infections, and this proportion is expanding step by step we read this proportions in papers. The rancher judge ailments by their possess involvement yet this isn't an exact and legitimate way at some point this method may come up short and rancher get misfortune. The malady for the most part impact the leaf and on stem of the plant. The malady might be because of infection, microscopic organisms, parasite, creepy crawlies, rust, nematodes, and so on [2]. on the plant; it is vital for the rancher to discover the ailment as right on time as could be allowed. There might be 20 to 30% of grape misfortune because of malady on plant[2]. The surmised, programmed, viable and quick technique for distinguishing the infections are required. 2. Checking utilizing the Wireless innovation, for example, Bluetooth, Zigbee, WI-FI and Radio Frequency Devices. 3. Checking utilizing the Wireless Sensor Networks[4]. IV.PROPOSED SYSTEM ARCHITECTURE For an android or a GSM client to control the farming gadgets an android application is downloaded which is running on the advanced cell. In this it incorporates the application for the water direct engine on/off and the solution pump on/off, pesticide controller and client can plan their errands utilizing this application. In this framework we are utilizing a web for associating a client with the server machine. This server has a java application which offers charges to the microcontroller to catch the picture day by day and send it to the client application. for catching the photograph of leaf on in cultivate we are utilizing cameras. Every one of these gadgets, for example, microcontroller, cameras are associated with the server through USB links and interfacing wires. Fig 2: Infected leaf of the grape plant 61

3 is called Firmware and is composed in ROM. Some most recent ROMs can be Re-Programmed, yet generally it doesn't require. Fig 3: Architecture of the proposed framework A. Communication Technique a. Short Message Service(SMS) The client sends instant messages or SMS to the recipient or the GMS Module which is fitted in the ranch. The GSM recipient get messages sent from the client cell phone and now this message is decoded and order is sent to the microcontroller. Microcontroller offers orders to the gadget associated i.e. the water pump engine or the prescription engine will switch ON/OFF. b. Missed Call The working expense of correspondence amongst client and the ranch control framework phones was additionally lessened by utilizing idea of mistake where in no charges are gotten by utilizing just ring signal for data transfer[4]. A voice call is dealt with as a mistake when either calling side separates subsequent to getting ring tones or called side does not react to call. c. Android App The present each individual uses an Android telephone for everyday life we can utilize this advanced mobile phone to control the action which is performing in the homestead utilizing an android application, the client just tap on the application catch and an activity will be perform in the Homestead. B. Components a. Microcontroller: The task of different machines and devicess are controlled by the microcontroller as per the program or guidelines given in the memory or ROM of the Microcontroller. The capacity of the Microcontroller is controlled by a program that b. Engine: A Motor is utilized to spread the water and in addition prescription in the homestead, and we utilize single engine for both the works. This is controled by the microcontroller i.e. by the Android application which is utilized by remote client, the client can switch ON/OFF the engine whenever and anyplace it will work. c. Camera: A camera is fitted in the ranch at the corners on the grounds that the microscopic organisms are constantly entered from the corner in this way we fit the camera at the corner and every camera catches a few pictures and sends it to the client application where the sickness of the leaf is distinguished and the best possible outcome is appeared to the agriculturist for getting the most extreme creation in least work done. Detection of Disease For the computerized identification of leaf sicknesses we presented an answer which depends on picture handling. The outcomes can be tried on three sicknesses which impact on the plants; they are: Black decay, Downy buildup, fine mold. In the first place, utilizing a computerized camera the advanced pictures are procured from the earth. At that point to remove valuable highlights that are essential for promote investigation picture preparing methods are connected to the gained pictures. From that point onward, to order the pictures as per the particular issue a few expository segregating systems are utilized. The well ordered strategy for the proposed framework 1. RGB picture securing 2. Change over an info picture from the RGB to HSV organize 3. Veiling the green-pixels 4. Wiping out the conceal green pixels 5. Division of segments 6. Acquiring the valuable portions 7.Computation of the highlights utilizing shading co-event procedure 8. Assessment of surface insights 62

4 Fig. 5.d. Intensity component Fig 4 : The basic procedure of the proposed approach Fig 5.a. bacterial brown sop Fig 5.b. Hue component Fig. 5.c.saturation component Shading Transformation structure: Firstly, the securing of RGB pictures of leaves is finished by the installed framework to the cell phone. At that point the RGB pictures are changed over into Hue Saturation brilliance (HSB) shading space portrayal. Immersion alludes to the relative immaculateness or the measure of white light added to the shade and the Value implies adequacy of the light. EXTENTION This completely mechanized framework is extremely helpful for the rancher which works with less labor and client can play out the accompanying things: Remote client can on/off water pump by utilizing web/call/message. Remote client can on/off the pharmaceutical pump utilizing web/call/message Automatically get a data about the solution. Application gives the ebb and flow ailment status of the plants. Gives the data about the solution for specific ailment. Observe and take care of the ranch from anyplace. Automatic plan the every day cultivating exercises. Daily updates for the agriculturist about their timetable movement. Automatic on or off water pump if the client neglects to give the order. Automatic on/off Medicine pump if client neglects to give the summon. CONCLUSION An application for discovery of ailments of plants and furthermore controlling, planning and observing of the all rural recourses helps the rancher for using the work and also time. From 63

5 this application endeavors of the agriculturists can be diminished, and furthermore generation of the ranch can be expanded. From this technique we can discover the plant illness from the level of tainted openings on the leaf from that we ascertain the ailment. This application helps the agriculturist for picking a legitimate drug for the specific sickness in the wake of computing the disease. REFERENCES [1] S. Arivazhagan and R. N. Shebiah Detection and classification of unhealthy region of the plant leaves by using texture features CIGR Journal, Vol. 15, No.1, March, [2] S. Datir and S. Wagh, Monitor and Detection of Disease in the agricultural field by using Wireless Sensor Network IJOCA, Vol. 87 No.4, February 2014 [3] D. S. Pavithra and M. S. Srinath, For the proper use of resources and crop planning GSM based Automated Irrigation system is used with the help of android mobile, IOSR-JMCE, Vol. 11, Issue 4, (July 2014) [4] M. Choudhary and S. Dhone, To Schedule, Control And Monitor the Agricultural Devices with the help of Android Application, IJARCET, Vol. 4 Issue 4, April 2015 [5] Prof. S. B. Dhaygude and N. P.Kumbhar, Detection of plant Leaf Diseasein the agricultural field with the help of Image Processing, IJAREEIE, Vol. 2, Issue 1, in January