Update README.md

README.md

 # 2022-211
 
 Paddy Rice Smart Farming
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+Abstract
+
+ 
+A large number of crops are grown in Sri Lanka which often serve as hosts to different kinds 
+of fungi, bacteria, and virus.  some diseases reach epidemic status and cause serious crop 
+losses where the impact of some is negligible [2]. Prevention and early diagnosis are 
+critical to limiting damage by plant pathogens. The farmers need to monitor their crops and 
+detect the first symptoms to prevent the spread of a plant disease at low cost and save a 
+major part of the production. Detection of paddy leaf diseases falls important for these 
+reasons.
+There is a demand for research to classify paddy diseases at initial stages. 
+This is feasible if there are automated systems that can assist the farmers to recognize 
+the paddy diseases from the paddy leaf images of the plants. The recognition of agricultural
+plant diseases by utilizing image-processing and machine learning techniques can certainly
+minimize the reliance on the farmers to protect the yield of paddy crops. 
+Paddy can be affected by diseases at different stages of growth and all parts of the plant. 
+in order to detect and diagnose paddy leaf diseases we will be using the Image pre-processing
+and segmentation technique along with different types of classification features. According 
+to the implementation of the system diagnosis will be done based on periodical crop 
+monitoring, images and historical information about paddy crops provided by the farmer. 
+The proposed automated system can be used on android and apple platform. System can 
+certainly help the farmers to classify the diseased paddy leaves at an early stage 
+to protect the crops from further damage.
+
+Research Problem
+
+In Sri Lanka, agriculture has undergone technological transformation in the last decades, 
+making farming more convenient, efficient, and profitable. However, farmers face a growing 
+number of challenges and constraints that include low productivity, poor product quality, 
+and climate change. 
+Substantial crops are grown in Sri Lanka which often serve as hosts to different kinds of 
+fungi, bacteria, and virus.  some diseases reach epidemic status and cause serious crop 
+losses where the impact of some is negligible. Prevention and early diagnosis are critical 
+to limiting damage by plant pathogens. The farmers need to monitor their crops and detect 
+the first symptoms to prevent the spread of a plant disease at low cost and save a major 
+part of the production.
+They survive because of direct and indirect support from the government, such as free 
+irrigation and extension services, massive fertilizer subsidies and support prices. 
+The economic costs of these measures reflect the unsustainable and misdirected ways adopted 
+by successive administrations. 
+So, the country must continue to develop and adapt technological innovations for the 
+agriculture sector to become a more productive contributor to the economy. 
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+
+
+Main Objectives
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+
+Predict the disease in an early stage and provide better information about the diseases. 
+With this information farmers will be more aware about their crops and protect their crops 
+from diseases.
+Monitoring Disease – The application is capability of capturing the image of the affected 
+crop and identifying the disease
+Providing meaningful information – By monitoring the plant from time to time and guiding 
+the users with related pesticides and level of water