Recognition and Early Stage Detection of <em>Phytophthora</em> in a Crop Farm Using IoT

Detection of agricultural plant pests is seen as one of the farmers’ problems. Automated Pest Detection Machine enables early detection of crop insects with advanced computer vision and image recognition. Innovative research in the field of agriculture has demonstrated a new direction by Internet of Things (IoT). IoT needs to be widely experienced at the early stage, so that it is widely used in different farming applications. It allows farmers increase their crop yield with reduced time and greater precision. For the past decade, climate change and precipitation have been unpredictable. Due to this, many Indian farmers are adopting smart methods for environment known as intelligent farming. Smart farming is an automated and IOT-based information technology (Internet of Things). In all wireless environments IOT is developing quickly and widely. The Internet of Things helps to monitor agricultural crops and thus quickly and effectively increase farmers’ income. This paper presents a literature review on IoT devices for recognizing and detecting insects in crop fields. Different types of framework/models are present which are explaining the procedure of insect detection

Proportion of hepatitis A and E among chidren with acute viral hepatitis with special reference to differences in their clinico-biochemical parameters: A hospital based study

Background: Hepatitis is a major health problem in both developing and developed countries, with various infective and non-infective causes. Aim: This study aims to estimate the proportion of hepatitis A and E as a causative agent in children presenting with acute hepatitis and to study their clinical and biochemical parameters. Materials and Methods: The present study was conducted on all children attending or admitted with clinical features of acute hepatitis defined as hepatomegaly, fever &gt;38°C, malaise, dark urine, and/or jaundice. All children included were clinically examined and relevant investigations were sent. All the data were entered in a structured pro forma and statistical analysis was done. Results: A total of 254 patients were studied. Hepatitis A virus (HAV) was the most common with 95.08% of cases and occurred in the age group of ≤5 years. Hepatitis E virus (HEV) was more common in ≥10 years age group and was observed in 13.11% of cases. Common prodromal symptoms in hepatitis patients were fever, anorexia, vomiting, and abdominal pain, observed in 82.5%, 32.5%, 55.5%, and 50.5% of cases, respectively, with no significant difference between HAV and HEV. In liver biochemistry, there was no significant difference in serum bilirubin, serum glutamic oxaloacetic transaminase, and serum glutamate pyruvate transaminase values between HAV and HEV. Conclusion: There are no significant differences in both enterically-transmitted hepatitis viruses and the only way to differentiate between them is by serological tests