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Patel, H. K.
- Enumeration of Plants from Rander Area and Environs in Gujarat
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Indian Forester, Vol 98, No 1 (1972), Pagination: 57-64Abstract
In the present paper 432 taxa of 98 Angiosperm and one Gymnosperm families are enumerated, collected from the present area during 1965-68. 370 are dicotyledons, 1 gymnosperm and 61 monocotyledons.
- Effect of Irrigation and Nitrogen Levels on Forage Yield and Quality of Pearl Millet [Pennisetum glaucum (L.) R.Br.]
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1 Main Forage Research Station (A. A.U.) ANAND (GUJARAT), IN
2 Department of Agronomy, B.A. College of Agriculture, Anand Agricultural University, ANAND (GUJARAT), IN
1 Main Forage Research Station (A. A.U.) ANAND (GUJARAT), IN
2 Department of Agronomy, B.A. College of Agriculture, Anand Agricultural University, ANAND (GUJARAT), IN
Source
International Journal of Agricultural Sciences, Vol 11, No 2 (2015), Pagination: 264-267Abstract
An experiment was conducted to study the effect of irrigation and nitrogen on pearl millet during summer 2010 at Anand Agricultural University, Anand. Twelve treatment combinations of four irrigation levels (0.4, 0.6, 0.8 and 1.0 IW: CPE ratio), three levels of nitrogen (80, 120 and 160 kg N ha-1) were tested in split plot design with four replications. The result revealed that the frequent irrigations at 1.0 IW : CPE ratio significantly increased the plant height, tillers per meter row length and leaf : stem ratio and produced significantly the highest green forage, dry matter and crude protein yields and registered the highest net returns. However, lower irrigation level of 0.4 IW: CPE ratio was significantly superior in WUE than 1.0 IW : CPE ratio. Successive increase in nitrogen application increased yield attributes, leaf, stem ratio, crude protein content as well as WUE. Application of 160 kg N ha-1 recorded significantly the highest green forage, dry matter and crude protein yields of pearl millet and gave the highest net returns.Keywords
Irrigation, Nitrogen, forage, Pearl Millet.- Morphometric Variation in Workers of Stingless Bees Tetragonula laeviceps Smith in South Gujarat
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1 Department of Entomology, N.M. College of Agriculture, Navsari Agricultural University, Navsari (Gujarat), IN
1 Department of Entomology, N.M. College of Agriculture, Navsari Agricultural University, Navsari (Gujarat), IN
Source
International Journal of Plant Protection, Vol 9, No 2 (2016), Pagination: 445-449Abstract
The studies on the morphometric variations in workers of stingless bees T. laeviceps available in South Gujarat was carried out at Bio-control Laboratory, Department of Entomology, N.M. College of Agriculture, N. A. U., Navsari. For the purpose, worker bees were collected from seven district of the south Gujarat and dissected for studying the morphological variations if any by measuring different fifteen body parts. The significant variations were observed in to all body parts except tongue length and number of hamuli in bees collected from different districts of south Gujarat. The mean body length of T. laeviceps varied from 3.50 mm (Dang) to 3.88 mm (Narmada) with an average of 3.67 mm; head length varied from 0.72 mm (Valsad) to 1.01 mm (Bharuch) with an average of 0.84 mm, antennal length varied from 1.62 mm (Valsad) to 1.88 mm (Bharuch) with an average of 1.72 mm, tongue length varied from 1.11 mm (Bharuch) to 1.12 mm (Narmada) with an average of 1.11 mm, thorax length varied from 1.35 mm (Bharuch) to 1.78 mm (Narmada) with an average of 1.45 mm and thorax breadth varied from 1.30 mm (Navsari) to 1.41 mm (Narmada) with an average of 1.37 mm, forewing length 2.79 mm (Tapi) to 3.31 mm (Bharuch) with an average of 3.09 mm and forewing breadth varied from 0.96 mm (Tapi) to 1.21 mm (Surat) with an average of 1.10 mm, hindwing length was varied from 2.06 mm (Dang) to 2.37 mm (Navsari) with an average of 2.21 mm and hindwing breadth 0.50 mm (Valsad and Tapi) to 0.71 mm (Narmada) with an average of 0.56 mm, extent of hamuli varied from 0.14 mm (Dang) to 0.17 mm (Narmada) with an average of 0.15 mm, hindleg length varied from 3.32 mm (Dang) to 3.95 mm (Navsari) with an average of 3.52 mm and hindleg breadth varied from 0.29 mm (Narmada) to 0.46 mm (Navsari) with an average of 0.39 mm and abdomen length varied from 1.30 mm (Dang) to 1.70 mm (Bharuch) with an average of 1.44 mm.Keywords
Tetragonula laeviceps, Morphometric Variation, Morphology.References
- Araujo, E.D., Costa, M., Chaud, N.J. and Fower, H.G. (2004). Body size and flight distance in stingless bees (Hymentoptera: meliponinae): Influence of flight range and possible ecological implications. Brazilian J. Biol., 64 (3b): 563-568.
- Danaraddi, C.S. and Shashidhar, V. (2009). Morphological studies on the stingless bee, Trigona iridipennis Smith. J. Agric. Sci., 22(4): 796-797.
- Devanesan, S., Shailaja, K.K., Rakhee, M., Bennet, R. and Premilla, K.S. (2003). Morphometric characters of queen and workers of stingless bees, Trigona irridipennis Smith. Insect Environ., 9 (4): 154-155.
- Deavanesan, S., Shailalja, K.K. and Premila, K.S. (2009). Status paper on stingless bee Trigona irridipennis Smith Published by AICRP on Honeybees and Pollinators, 15p
- Kuberappa, G.C., Gajanana, S., Mohite, S.S. and Kencharaddi, R.N. (2005). Bio-metrical variations among populations of stingless bees, in Karnataka. Indian Bee J., 67(3&4): 145- 149.
- Pallavi, P.N. (2011). Morphometrics of honeybee species occurring in south Gujarat and effect of bee pollination on yield of coriander, Coriandrum sativum Linnaeus. M.Sc. (Ag.) Thesis, Navsari Agricultural University, Navsari, GUJARAT (INDIA).
- Patnaik, H.P. and Prasad, V.D. (2007). Morphometric characters of stingless bee, Trigona iridipennis Smith. J. Pl. Prot. Environ., 4 (2) : 20-23.
- Patricia, Vit, Silvia, R.M., Pedro and David, Roubik (2013). Pot-honey: A legacy of stingless bees. pp: 3-17, Publisher-Springer, NEWYORK, U.S.A.
- Wille, A. (1983). Biology of stingless bees. Ann. Rev. Ent., 28: 41-64.
- Habitat, Nesting Behaviour and Collony Organization of Stingless Bees Tetragonula laeviceps Smith
Abstract Views :171 |
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Authors
Affiliations
1 Department of Entomology, N. M. College of Agriculture, Navsari Agricultural University, Navsari (Gujarat), IN
1 Department of Entomology, N. M. College of Agriculture, Navsari Agricultural University, Navsari (Gujarat), IN
Source
Asian Journal of Bio Science, Vol 11, No 1 (2016), Pagination: 186-189Abstract
Investigations on habitat, nesting behaviour and colony organization of stingless bees, Tetragonula laeviceps Smith in South Gujarat were undertaken at Navsari Agricultural University, Navsari during March 2012 to February 2013. For the purpose, colonies available in different districts of south Gujarat were observed. The results revealed that the colonies of T. laeviceps were observed in wall cavities (85.29%), tree cavities (8.80%) and pole cavities (5.88%) and located at height of 1160.71 mm, 1020 mm and 1065 mm from ground level, respectively. The entrance of the colony was made up of resin and the newly built entrance was soft, later turned darker and became rigid due to maturation. The length and width of entrance tube of colonies nested in wall cavities were 26.75 mm and 18.50 mm. Similarly, the colonies nested in tree cavities had the length and width of entrance tube to the extent of 38.50 mm and 20 mm. The colonies nested in pole cavities had the length and width of entrance tube to the extent of 5.00 mm and 21.50 mm. The studies on colony organization of T. laeviceps were made by opening five colonies. The colonies of T. laeviceps consisted of food storage zone and brood zone. Food storage zone was divided into pollen pots and honey pots. The length and width of pollen pots was 6.77 and 4.98 mm, respectively. The length and width of honey pots was 7.62 and 4.75 mm, respectively. The length and width of brood cells was 1.47 and 1.29 mm, respectively. The density of pollen pots, honey pots and brood cells were 13.50, 4.85 and 15 cells/cubic inch, respectively.
Keywords
Stingless Bee, Tetragonula laeviceps, Habitat, Colony Organization, Nesting Behaviour.- Application of Image Processing in the Field of Agriculture for the Work of Classification of Citrus Plant Leaf Diseases
Abstract Views :232 |
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Authors
Affiliations
1 College of Agricultural Information Technology, Anand Agricultural University, Anand (Gujarat), IN
1 College of Agricultural Information Technology, Anand Agricultural University, Anand (Gujarat), IN
Source
International Journal of Agricultural Sciences, Vol 13, No 1 (2017), Pagination: 77-82Abstract
In the investigation of finding and analyzing leaf diseases by computer vision interestingly in the field of agriculture, attribute collection and shape categorization is main difficulty in pattern recognition and affects the propose and concert of the classifier. Leaf dots can be analytic of crop diseases there leaf spots are typically examined physically and subjected to connoisseur opinion. In this article leaf disease uncovering and diagnosis system is urbanized to mechanize the examination of exaggerated leaves and helps finding the disease type and so give remedial action. The urbanized system consists of number of stages which includes HSI alteration, histogram investigation and concentration adjustment. The other stage is segmentation which has alteration of fuzzy feature algorithm parameter to fit the submission in concern. Attribute extraction is the next coming stage which deals with number of features. Citrus plants such as lemon, orange and grapes are mainly affected by various diseases which affect the fruit production to these plants. Citrus disease identification and solution is important for increasing the quality and quantity of the production of these plants.Keywords
Application, Image Processing, Field, Agriculture, Classification, Citrus Plant, Leaf Diseases.References
- Bhaika, Amina (2013). Estimation of yellow rust in wheat crop using K-means segmentation. Internat. J. Scientif. Res., 2 (12) : 14-16.
- Kanjalkar, Hrishikesh P. and Lokhande, S.S. (2014). Feature extraction of leaf diseases. Internat. J. Adv. Res. Computer Engg. & Technol. , 3 (1): 153-155 .
- Maheswary, Priti and Srivastav, Namita (2008). Retrieving similar image using colour moment feature detector and Kmeans clustering of remote sensing images. Computer & Electrical Engineering, International Conference on, vol. 00, no. , pp. 821-824, 2008, doi:10.1109/ICCEE.2008.114.
- Marathe, Hrushikesh and Kothe, Prerna (2013).Leaf disease detection using image processing technique. Internat. J. Engg. Res. & Technol., 2 (3) : 11-14.
- Patil, Jayamala K. and Kumar, Raj (2011). Colour feature extraction of tomato leaf diseases. Internat. J. Engg. Trends & Technol., 2 (2): 72.
- Rafael, C.Gonzalez, Richard, E.Woods and Steven L. Eddins (2009). Digital image processing using MATLAB, 2nd Ed.
- Revathi, P. and Hemalatha, M. (2014). Identification of cotton diseases based on cross information gain-deep forward neural network classifier with PSO feature selection. Internat. J. Engg. & Technol., 5 (6) : 4637-4642.
- Swetha, N. and Sasirekha, N. (2016). Prediction of leaf disease using segmentation with hierarchical clustering. Internat. J. Engg. Technol. Sci. & Res., 3 (6) : 37-42.
- http://in.mathworks.com/help/matlab/.
- Challenges & Development in Manufacturing Technology for Fabrication of Super Heavy Tubular Reactors
Abstract Views :238 |
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Authors
Affiliations
1 Larsen & Toubro Limited, Hazira Works; Surat; Gujarat - 394510, IN
1 Larsen & Toubro Limited, Hazira Works; Surat; Gujarat - 394510, IN
Source
Indian Welding Journal, Vol 41, No 3 (2008), Pagination: 17-21Abstract
Super Heavy Tubular Reactors have grown to the size of up to 10m dia and 1500MT weight. These reactors pose huge challenges for the equipment manufacturers since they involve fabrication of heavy thickness Tube sheets (up to 450mm thick), huge diameter shells (10m OD), large number of nozzles and enormous amount of Tube # Tube sheet welds (30000 per equipment). The present paper describes development of various manufacturing technologies to counter such challenges - namely Narrow Gap SAW of Longitudinal & Circumferential seams. Fabrication & Distortion control of super heavy tube sheet including weld overlay on it, Narrow gap orbital Nozzle welding by SAW, Strip cladding on channel shells and Automatic Tube # Tube sheet welding.