Development of Artificial Intelligence(AI) Based Mobile App for Diagnoses and Treatment of Citrus Disorders

Citrus, a highly prized and remunerative fruit, is cultivated almost all over the world. Citrus fruits include oranges, mandarins (Kino), grapefruit and lemons, of which mandarins (Kino) is of significance to Pakistan[1]. Pakistan is the largest producer of Kino in the whole world. Currently, in&nbs

Project Title

Development of Artificial Intelligence(AI) Based Mobile App for Diagnoses and Treatment of Citrus Disorders

Project Area of Specialization

Internet of Things

Project Summary

Citrus, a highly prized and remunerative fruit, is cultivated almost all over the world. Citrus fruits include oranges, mandarins (Kino), grapefruit and lemons, of which mandarins (Kino) is of significance to Pakistan[1]. Pakistan is the largest producer of Kino in the whole world. Currently, in Pakistan citrus fruits (primarily Kinnow) are grown on an area of 206,569 hectares with production of 2.36 million tonns. They are widely cultivated fruits in the world with areas under cultivation and production increasing greatly from 2000 - 2010. Citrus is ranked world number 21st in Pakistan w.r.t its area and production among fruits.

The  overall  blueprint  of  Internet  of  things  helper  parts showed of mind blowing ability in  those headways in spaces of plants  and the continuous example of  Accuracy in plants. Continuous improvements  in  sensor  development,  nearby downsizing  in  equipment in  addition  remarkable  descent in their rate have donated the ton to a mechanical improvement of  customary  cultivating  to  correctness  besides  little  scale exactness plants. Air sensor, ground sensor, radiation sensors, atmosphere station highlight that it is almost sensor as well as sensors  data  streams,  which  are  secured  as  well  as  use for checking,  data  excavating,  thinking,  and  control.  Besides, starting late, there is a growing enthusiasm for high gauge as well as  harmless country things. That example  has produced the  necessity  for  cover  operable,  spread,  incredible,  and careful co-appointments tractability systems. The IoT group of advances  gives  all  the  suitable  instruments  to building  and keeping  up  such  foundation  and  administrations, extraordinarily  intended  to  help  supply  chains  in  rural  and plant sectors Sensors, as wired and remote sensors, have been broadly utilized in horticulture during the most recent decades. Detecting the earth in which creation happens, and, all the more as of late, the reactions of the plants to the atmosphere is urgent  for  taking  the  right  and  increasingly  exact  choices, streamlining  profitability  and  nature  of  the  cultivars. Adaptable  gadgets,  with  high  computational  capacities, exceptionally  advantageous structure  factor and  ease,  would nowadays  be able  to be  utilized, on  batteries,  and work  for significant lots, with or without the help of intensity gathering modules.  What's  more, present  day  implanted  gadgets  have adequate assets to bolster all the more requesting sensors, for example,  picture  sensors,  and  the  help  of  progressively modern  systems  administration  conventions,  such  TCP/IP, broadening  the  customary  systems  administration  abilities.

Project Objectives

The objective of the project is to use artificial intelligence and image processing techniques for identification of the citrus plants. Moreover the proposed system will help in diagnosing and recognition of citrus disorders in citrus plants, and after that we will suggest a treatment to overcome that disease .this project is done with the help of department of soil sciences.

Project Implementation Method

We are going to use incremental-model

Many consider the incremental method to be the most traditional software development method. The waterfall method is a rigid linear model that consists of sequential phases (requirements, design, implementation, verification, maintenance) focusing on distinct goals. Each phase must be 100% complete before the next phase can start. There’s usually no process for going back to modify the project or direction.

If we talk about the IOT Based work methodology then,

The  proposed  framework  comprises  of  temperature, dampness, and shading sensors for gathering information from plant leaves  dependent on variety in temperature,  mugginess and shade of plant leaves. The information gathered from the leaves  comprises  of  current  ecological  variables  like

temperature,  moistness and shading. The progressions that a plant experiences are caught by the

Temperature moistness and shading sensors and dissected with  the  Raspberry Pi  programming.  The  information  gathered with  .temperature,  moistness  as  well  as  shading  sensor  are

specified  for  RaspberryPi  unit  after  that  data  remains conveyed  the ranchers. The framework utilizes WiFi shield so as  to send  the information  from  the host  framework to  the

cloud stage for  examination. The gathered information in the cloud stage is then contrasted with the dataset all together with identify  whether  the  leaf  under  thought  is  typical  or influenced.  

Benefits of the Project

We are going to develop Android App using Artificial Intelligence (AI) and image processing techniques using IOT Based hardware and sensors that can provide complete solution to the citrus growers of Pakistan for accurately categorizing citrus varieties, diagnosing nutritional disorders, disease and pest damages, recognizing fruit harvesting stages and fruit grades, along with suggestions for improvement, it will also have admin side web app so that admin can change the content of Android app as well as web app, any time he wants to.

Technical Details of Final Deliverable

Identification of diseases in the plant is most extreme requirement for farmers and agriculture specialists. The principle point of the proposed framework is to recognize plant diseases with the help of IoT (Internet of Things). In the greater part of the plants the sickness beginning happens on plant leaves. Subsequently, in the proposed work we have considered location of plant sickness present on leaves. The segregation of ordinary and influenced plant leaf can be estimated dependent on variety in temperature, dampness and shading. The pigments in leaves are in charge of the striking shading changes in the fall. Temperature, daylight and soil dampness all assume a job in how the leaves will look in the fall. Rich daylight and low temperatures after the abscission layer structures cause the chlorophyll to be demolished all the more quickly. We have utilized DHT11 temperature sensor. The DHT11 sensor detects the temperature of the leaf under thought. The parameters that are gathered from the sensor are sent to the cloud stage through the wifi shield associated with the Arduino UNO board. The information which is recorded for investigation in the cloud stage. We at first record the scope of the temperature of a sound leaf. Afterward, if the temperature of the leaf under thought does not fall into that run, at that point the leaf is said to be unhealthy. Changes in the shade of plant tissue are a typical indication of plant disease. Regularly these shading changes are realized by the yellowing of typical green tissue because of the annihilation of chlorophyll or an inability to frame chlorophyll. Such suppression of leaf shading might be finished or halfway. The shading sensor detects the shade of the leaf under thought which is another parameter that is being utilized to decide if the leaf is either disease or safe. As indicated by the normal for rural data stream, from the side of innovation, on account of the characteristics of by and large sense, solid exchange and wise procedure, IOT starts to turn into the primary strategy for information securing and transmission and would turn into a significant innovation over a few sorts of sensors to gather, investigate, transmit and deal with the entire information identified with plant illness and creepy crawly pests. The sensor is a significant innovation for information obtaining, and is principally used to catch some portion of the current information, relate and synchronize these information, examine them, lastly, does a receptive movement without client mediation. The parts of a (remote) detecting hub incorporate the accompanying: detecting and in citation unit (single component or exhibit), preparing unit, correspondence unit, control unit and other application subordinate units Sensors can be basic point components be multi point location clusters, and it has the capacity of huge scale arrangement, low support, scale capacity, flexibility for various situations.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Agriculture

Other Industries

IT , Medical

Core Technology

Artificial Intelligence(AI)

Other Technologies

Internet of Things (IoT)

Sustainable Development Goals

Sustainable Cities and Communities, Life on Land

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com