Analysis on Leaf Disease Identification using Classification Models

The Researchers have all been aware of the rising food demand brought on by the population's rapid growth and the high mortality rates caused by medical developments. One of the many farming practises where computerization in agriculture has made significant progress is the identification of numerous plant diseases. The focus of almost every nation has shifted towards mechanising agriculture in order to achieve accuracy and precision and to meet the continually increasing demand for food. Identification of plant diseases is one of the most difficult tasks in agriculture and has a significant effect on crop yield. Artificial intelligence has recently begun to concentrate on smart agriculture science.Ground-breaking methods in plant science through deep learning and hyperspectral imaging to locate and recognise plant diseases has been addressed in this study

Economic Evaluation of Ring seine Fishery along Kerala cost

The intensive mechanisation phase dominated in Kerala fisheries iuring the seventies not only led to the increase in shrimp and fish production hut also machanized the traditional sector. The traditional sector went for rapid motorization of artisanal Heels during the eighties mainlyn overcome this marginalisation

A Study on Risk Factors and Prognosis of Diabetic Ketoacidosis in patients admitted in Intensive Medical Care Unit

INTRODUCTION: Diabetes mellitus is a metabolic disorder, characterized by hyperglycemia caused by absolute or relative deficiency of insulin. The worldwide prevalence of diabetes for all age groups was 2.8% in2000 and will be 4.4%2030. Diabetes can affect more than 62 million Indians, which is more than 7% of adult population. Diabetic ketoacidosis is the most common and serious acute complication of diabetes. DKA usually occurs patients with type 1 DM, it can also occur in patients with type 2 DM. Type 2 DM patients with prolonged duration are more prone to DKA. AIM OF STUDY: To assess risk factors and prognosis of DKA patients in intensive medical care unit. MATERIALS AND METHODS: This study was an observational cross sectional study conducted in Tirunelveli Medical College, Department of Medicine, during the period from of August 2014to August 2015. The aim was to study the symptomatology, risk factors and prognosis of Diabetic ketoacidosis. Patients admitted to the Intensive medical Care Unit in whom a diagnosis of DKA was made based on clinical features, with diabetes and elevated random blood sugar, urine acetone positive were considered for the study. RESULT: In this study DKA had multiple precipitating factors like noncompliance, infections, sepsis, MI, stroke, alcoholism. . In this study the predominant precipitating factors were related to insulin therapy (dose or regimen), noncompliance and infections. In this study among 100 patients most of patients had more than one complication like death, prolonged hospital stay>2week, sepsis, electrolyte abnormalities, respiratory failure, severe acidosis and altered sensorium with encephalopathy. Mortality increased with high blood sugar value. In this study patients with oral anti diabetic drugs had high mortality and prolonged hospital stay and more complications. Diabetic patients with prolonged duration had significant mortality and morbidity, they were prone for complications. CONCLUSION: Diabetic ketoacidosis is an important acute complication of diabetes. Treatment mainly includes adequate fluid management, insulin administration, and correction of electrolyte abnormality .Identification and treatment of precipitating factors are more important .Patient education plays a crucial role in prevention of DKA

Economics of Traditional Gill Net Fishing Using Wind Energy Along Tamil Nadu Coast

The paper highlights the economics of plank built boats and catamarans using sails operating gill nets at selected centres representing different regions of Tamil Nauu coast. Data on daily operational costs and earnings of catamarans and plank built boats operating various types of resource specific gill nets for different seasons have been collected for a period of one year

Economics of Traditional Gill Net Fishing Using Wind Energy Along Tamil Nadu Coast

The paper highlights the economics of plank built boats .Ctamarans using sails operating gill nets at selected centres representing different regions of Tamil Nadu coast. Data on daily operational costs and earnings of catamarans and plank built boats operating various types of resource specific gill nets for different seasons have been collected for a period of one year. The average initial investment of a plank built boat with sails operating different types of gill nets varies from Rs.27000 to 60000 realising annual gross returns of Rs.55000 to 66,000/-. The average capital investment of a catamaran operating gill net ranges from Rs.6,5OO/- to Rs45000- depending upon the number of gear used for different seasons realising annual earnings 01 Rs.21,OOO/- to Rs.1.15 lakhs. The key economic indicators such as initial investment, rate or return, cost 01 production, net returns etc. have been worked out which indicate that utilsation of wind energy is most suitable and economically viable for the traditional fishermen operating gill nets along Tamil Nadu coast

AI Enabled Next-Generation Traffic Control System

Traffic is one of the superior problems in modern metropolis. Fresh and advanced technology related infusions are required to supervise themselves and direct traffic signals in order to decrease the snarl-upping of traffic. Major problem is when it comes to a predicament or an emergency circumstance which affects the servicing facilities like ambulances, fire trucks, police vans etc. In this paper, we capture data from the surveillance camera and using it we will train the machine using Machine Learning and Deep Learning. So, the process goes where we use a collective number of images which can be enormous in numbers which can be used to train the model. Subsequently, the vehicles are identified, and are categorized into various classes and this classification is done by itself, as it is edified to precision. We procured 88% accuracy using YOLOv5 for vehicle recognition. Further it contributes to the future, so that road design and scrutiny can be developed and secondly the fuel usage can be controlled, and the standby time is also saved effectively. Within some period, we will be able to harmonize most of the signals, by imparting a flexible traffic management system, thus resulting in declination of traffic congestion

The extent of population genetic subdivision differs among four co-distributed shark species in the Indo-Australian archipelago

Background: The territorial fishing zones of Australia and Indonesia are contiguous to the north of Australia in the Timor and Arafura Seas and in the Indian Ocean to the north of Christmas Island. The area surrounding the shared boundary consists of a variety of bio-diverse marine habitats including shallow continental shelf waters, oceanic trenches and numerous offshore islands. Both countries exploit a variety of fisheries species, including whaler (Carcharhinus spp.) and hammerhead sharks (Sphyrna spp.). Despite their differences in social and financial arrangements, the two countries are motivated to develop complementary co-management practices to achieve resource sustainability. An essential starting point is knowledge of the degree of population subdivision, and hence fisheries stock status, in exploited species. Results: Populations of four commercially harvested shark species (Carcharhinus obscurus, Carcharhinus sorrah, Prionace glauca, Sphyrna lewini) were sampled from northern Australia and central Indonesia. Neutral genetic markers (mitochondrial DNA control region sequence and allelic variation at co-dominant microsatellite loci) revealed genetic subdivision between Australian and Indonesian populations of C. sorrah. Further research is needed to address the possibility of genetic subdivision among C. obscurus populations. There was no evidence of genetic subdivision for P. glauca and S. lewini populations, but the sampling represented a relatively small part of their distributional range. For these species, more detailed analyses of population genetic structure is recommended in the future. Conclusion: Cooperative management between Australia and Indonesia is the best option at present for P. glauca and S. lewini, while C. sorrah and C. obscurus should be managed independently. On-going research on these and other exploited shark and ray species is strongly recommended. Biological and ecological similarity between species may not be a predictor of population genetic structure, so species-specific studies are recommended to provide new data to assist with sustainable fisheries management

Bayesian networks in survey data: Robustness and sensitivity issues

Bayesian networks (BN) implement a graphical model structure known as a directed acyclic graph (DAG) that is popular in statistics, machine learning, and artificial intelligence. They enable an effective representation and computation of a joint probability distribution (JPD) over a set of random variables. The paper focuses on the selection of a robust network structure according to different learning algorithms and the measure of arc strength using resampling techniques. Moreover, it shows how 'what-if' sensitivity scenarios are generated with BN using hard and soft evidence in the framework of predictive inference. Establishing a robust network structure and using it for decision support are two essential enablers for efficient and effective applications of BN to improvements of products and processes. A customer-satisfaction survey example is presented and R scripts are provided

Marine Fisheries Insurance in India: Status and prospects

Insurance in the fisheries sector in India, unlike that of crop and livestock, does not have a long history or an organized structure to boast of. Except for the presence of a few public sector insurance companies and cooperative bodies at the local level with limited scale of activity, the sector has received little attention either at the central or state levels. The private sector operation in this arena is also limited to a few cases scattered over time and space. Among the available options, the ‘Group Accident Insurance Scheme for Active Fishermen’ is the only major programme presently in operation that covers the life/disability risks of the boat crew