Crop Disease Detection and Prevention Android Application


Nowadays, farmers have diversified portfolio of crops in their farms. also they are trying to plant more type of crops in their farm. This kind of ‘Experimental farming’ attitude of farmers sometimes responsible for huge losses because they don’t predict diseases of crops at early stage. It has become more expensive to them to learn from previous experience. This article has made an attempt to study the need of an electronic expert system (android app) which help farmers to take proper decisions and improve their farming experience without suffering from heavy losses. Keywords- Agriculture Android App, Image processing, Leaf based decease detection.

According to our survey in some villages around satara and karad city; more than 80 percent farmer heists to try new kind of crops instead of their traditional crops because they don’t have required knowledge or experience. There is also a situation when someone try new kind of crop but it badly affected by some diseases, deficiency of nutrients or by any other reason. Most of the farmers around this area put their money in farming on the basis of experience rather than proper knowledge. And also take decisions by examining plants visually. But, this requires continuous monitoring of experts which might be prohibitively expensive in large farms. Further, in some areas, farmers may have to go long distances to contact experts (agriculture officers of panchayat samiti or zp), this makes consulting experts too expensive and time consuming. Image based detection of plant diseases in an important research topic as it may prove benefits in monitoring large fields of crops, and thus automatically detect the diseases from the symptoms that appear on the plant leaves. This enables machine vision that is to provide image based automatic inspection, process control and robot guidance.

A Survey on Crop Disease Detection and Prevention using Android Application
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Nowadays, farmers have diversified portfolio of crops in their farms. also they are trying to plant more type of crops in their farm. This kind ofExperimental farmingattitude of farmers sometimes responsible for huge losses because they dont predict diseases of crops at early

A Survey on Crop Disease Detection and Prevention using Android Application
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Nowadays, farmers have diversified portfolio of crops in their farms. also they are trying to plant more type of crops in their farm. This kind ofExperimental farmingattitude of farmers sometimes responsible for huge losses because they dont predict diseases of crops at early

Leaf disease detection and prevention using image processing using Matlab
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Images and videos of crops provide better view and agro scientist can provide a better solution which is a major concern of the cultivation of crop and that is crop diseases and the plant leaf diseases and the way for getting optimal solution of leaf disease detection using genetic

Study of the disease detection for crop seedlings by using chlorophyll fluorescence
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Study of the disease detection for crop seedlings by using chlorophyll fluorescenceand plant diseases , the farmers mostly spray pesticide on crops , however, the high dose pesticide can result in pesticide spots on crop leaves, influencing the crop raising and

An overview of the research on plant leaves disease detection using image processing techniques
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Early information on crop health and disease detection can facilitate the control of diseases through proper This technique will improves productivity of crops Al-Tarawneh presented an empirical investigation of olive leaf spot disease using auto- cropping segmentation and

Smallanthus sonchifolius and Lepidium meyenii-prospective Andean crops for the prevention of chronic diseases
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found in archaeological sites from about 1600 BC (ref.2). Inter- estingly, maca is not depicted on old Peruvian ceramics, so rich in agricultural crop pictures1 Smallanthus sonchifolius and Lepidium meyenii prospective Andean crops for the prevention of chronic diseases

Robust automatic cotton crop disease recognition (ACDR) method using the hybrid feature descriptor with SVM
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of the crops has been increased as the new generations have come to existence for the cotton growers. In the past years, the cotton crop has overall methodology for the detection of the cotton disease and explains the overall results obtained from the proposed

Review on leaf disease detection using image processing techniques
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of the plant, therefore detection of disease plays an important role in successful cultivation of crops detection is naked eye observation methods and it is non effective for large crop This paper gives the survey on leaf disease detection and classification techniques using image

Android Application for Crop Yield Prediction and Crop Disease Detection
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Suraksha, Sushmita, Sushma, Sushmita Keshav Disease Prediction of Paddy Crops Using data More, Sayali . Udgave, Monika Kasture, Grape Leaf Disease Detection using K NB Bhawarkar, Crop Diseases Detection with preventive measures Using Image Processing , In

Smart irrigation system and plant disease detection
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The applications are made available to provide real time irrigation schedule for selected crops 5] Maryam Hazman, Crop Irrigation Schedule Shitala Prasad Sateesh K. Peddoju Debashis Ghosh Multi-resolution mobile vision system for plant leaf disease Diagnosis

Detection of Bacterial Blight on Pomegranate Leaf
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So it be time consuming to detect disease on crop and provide proper treatment and allows them to take decisions for a better production of fruits and crops 2012 Tejas Deshpande, Sharmila Sengupta, KS Raghuvanshi, Grading Identification of Disease in Pomegranate

Plant disease detection techniques using canny edge detection color histogram in image processing
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The management of perennial fruit crops requires close monitoring especially for the management of diseases that can affect production And on the other hand, we choose infected images of disease Step 2: Resize the images Step 3: Crop region of interest in both images

Detection of rice leaf diseases using chaos and fractal dimension in image processing
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It is one of the three leading food crops in the world which makes it a more the rice diseases in order to prevent it and enable people to treat the crop diseases at an This algorithm be used as preliminary information or model in creating early disease detection systems or

Plant disease classification using image segmentation and SVM techniques
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leaf and disease on plant leaf plays an important role in successful cultivate of crops in the classification of the plant leaf image is very important for the successful cultivation of cropping and this This paper discussed various techniques to segment the disease part of the plant

An efficient citrus canker detection method based on contrast limited adaptive histogram equalization enhancement
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for example, contrast, energy, homogeneity and entropy using gray crops enhancement role in agriculture field because of widely accustomed observe the crop disease with high A. Thangadurai, K. and Padmavathi, K., Citrus Canker Disease Detection Using Genetic During the winter of 1983/84 nearly all of the melon and pepper fields were heavily infected and almost completely destroyed by virus diseases ( 8). Until 1983 the common practice had (ii) Cleaning the vegetable crop fields by removal of all the vegetation, crops and weeds In the light of this situation the threat of disease introduction from our neighboring land areas is in new pests introduced from abroad into the neighbor territory; in new crops which alter long-established pest relationships; in new crop areas which constitute a bridge to

Precision Spraying System of Crops Disease Stress Based on Acoustic Emission.
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uniformity. Diseases of the early intimidation crop acoustic emission conditions and healthy crops basic same, after began with crop disease symptoms, acoustic emission frequency will happen suddenly surge. Along

Crop Yield Prediction and Disease Detection Using IOT Approach
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On climate change the system will predict which disease will affect the crop and notify the farmer what prevention methods he the mobile application,by the detection of wheather the approximate prediction is done about which type of disease will affect the crops .This will

Plant disease detection using leaf pattern: A review
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Tushar H. Jaware, Ravindra D. Badgujar and Prashant G. Patil, Crop disease detection using image An Empirical Investigation of Olive Leave Spot Disease Using Auto- Cropping Segmentation and Mao, Bo Hu, MingXi Li, Feature Selection of Cotton Disease leaves Image

Detection of plant leaf disease employing image processing and gaussian Smoothing Approach
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and non-conventional approaches in helping farmers to detect diseases as when their crops are affected Image clipping thus cropping of the leaf image to get the interested image region http://www.graphic.com.gh/news/general-news/ghana- loses-30-per-cent-of- crop -yields-to


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