Informatics Publishing Limited

C. Sankar ¹, R. Marimuthu ¹, P. Saravanan ¹, P. Jeyakumar ², R. K. Tanwar ², S. Sathyakumar ², O. M. Bambawale ², V. V. Ramamurthy ³, Barik Anupam ⁴

Affiliations
1 Hans Roever Krishi Vigyan Kendra (ICAR), Valikandapuram, Perambalur, 621115, Tamil Nadu, IN
2 National Centre for Integrated Pest Management (ICAR), Pusa campus, New Delhi, 110012, IN
3 Division of Entomology, Indian Agricultural Research Institute, New Delhi, 110012, IN
4 Ministry of Agriculture, Govt. of India, Mumbai, 400001, Maharashtra, IN

Abstract

Solenopsis mealybug, (Phenacoccus solenopsis) infests cotton at Perambalur district of Tamil Nadu. During the surveys carried out during 2008-10, coccinellids Scymnus nubilus Mulsant, Hyperaspis maindroni Sicard, green lacewing, spiders, Aenasius bambawalei Hayat, Homalotylus eytelwenii Ratzeburg (Encyrtidae) Promuscidea unfasciativentris Girault and Coccophagus sp. (Aphelinidae) were recorded. The per cent emergence of S. nubilus was highest (68%) during second week of February and lowest (6%) during last week of November. The highest percentage (18%) of H. maindroni was recorded during second week of February and lowest (2%) during third week of March. The highest parasitisation (76%) by A. bambawalei was recorded during last week of February whereas it was lowest (8%) during last week of December. Similarly, the highest parasitisation (28%) by P. unfasciativentris was recorded during third week of February whereas it was lowest (2%) during third week of March. But the percent parasitized mealybug by Coccophagus sp. was very lower than others. A. bambawalei and P. unfasciativentris were most common parasitoids on mealybug P. solenopsis in cotton.

Keywords

Mealybug, Phenacoccus solenopsis, Predators, Parasitoids.

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V. Karthikeyan ¹, K. Vijayalakshmi ², P. Jeyakumar ¹

Affiliations
1 Department of ECE, SVS College of Engineering, IN
2 Department of Electrical and Electronics Engineering, SSK College of Engineering & Technology, Coimbatore-641105, IN

Abstract

It is believed that there are currently millions of vehicles on the roads worldwide. The over speed of vehicles ,theft of vehicles, disobeying traffic rules in public, an unauthorized person entering the restricted area are keep on increasing. In order restrict against these criminal activities, we need an automatic public security system. Each vehicle has their own Vehicle Identification Number („VIN‟) as their primary identifier. The VIN is actually a License Number which states a legal license to participate in the public traffic. The proposed paper is to identify the vehicle with the help of vehicles License Plate (LP).LPRS is one the most important part of the Intelligent Transportation System (ITS) to locate the LP. In this paper certain existing algorithm drawbacks are overcome by the proposed morphological operations for LPRS. Morphological operation is chosen due to its higher efficiency, noise filter capacity, accuracy, exact localization of LP and speed.

Keywords

Vehicle Identification Number (VIN), License Plate (LP), License Plate Recognition System (LPRS), Recognition, Morphological Operations.

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V. Karthikeyan ¹, K. Vijayalakshmi ², P. Jeyakumar ¹

Affiliations
1 Department of ECE, SVS College of Engineering, IN
2 Department of Electrical and Electronics Engineering, SSK College of Engineering & Technology, Coimbatore-641105, IN

Abstract

In the beginning stage, face verification is done using easy method of geometric algorithm models, but the verification route has now developed into a scientific progress of complicated geometric representation and identical procedure. In recent years the technologies have boosted face recognition system into the healthy focus. Researcher‟s currently undergoing strong research on finding face recognition system for wider area information taken under hysterical elucidation dissimilarity. The proposed face recognition system consists of a narrative exposition-indiscreet preprocessing method, a hybrid Fourier-based facial feature extraction and a score fusion scheme. We have verified the face recognition in different lightening conditions (day or night) and at different locations (indoor or outdoor). Preprocessing, Image detection, Feature- extraction and Face recognition are the methods used for face verification system. This paper focuses mainly on the issue of toughness to lighting variations. The proposed system has obtained an average of 88.1% verification rate on Two-Dimensional images under different lightening conditions.

Keywords

Face Recognition, Score Fusion, Preprocessing Chain, Feature Extraction.

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V. Suganya ¹, G. Velu ¹, P. Jeyakumar ¹

Affiliations
1 Department of Crop Physiology, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN

Abstract

The bacterium-to-plant signal, lipo-chitooligosaccharides (LCOs) or Nod factor induces cell division and enhances seed germination. The experiment was conducted to test the efficacy of LCO on soybean seed germination and seedling growth under room temperature by roll towel method. Different concentrations of LCO were used for seed treatment along with microbial inoculum and biocontrol agents as a control. Among the treatments, concentration of LCO @ 1.8 and 3.6 ml/kg of seed performed better compared to other treatments. The results revealed that treating with LCO could influence soybean seed germination and growth of seedlings.

Keywords

Lipo-Chitooligosaccharides (LCOs), Soybean, Seed Germination.

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