- H. V. Deshmukh
- M. B. Patil
- D. S. Shitole
- N. D. Purandare
- R. R. Perane
- M. D. Sadgir
- R. N. Bhise
- N. M. Kale
- Y. J. Waghmode
- J. R. Kadam
- A. M. Chavai
- A. B. Gaikwad
- B. T. Kolgane
- D. N. Pharate
- H. P. Sonawane
- U. D. Jagdale
- K. V. Gurav
- S. U. Jagdale
- R. P. Khule
- G. K. Sasane
- S. P. Kausale
- C. L. Patel
- S. S. Sayyad
- S. U. Pawar
- J. I. Shaikh
- M. C. Ahire
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Shinde, S. B.
- Estimation of Fusaric Acid from Culture Filtrate of Fusarium udum by Thin Layer Chromatography
Authors
1 Department of Plant Pathology and Agricultural Microbiology, Mahatama Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), IN
Source
Asian Journal of Bio Science, Vol 9, No 2 (2014), Pagination: 251-254Abstract
The investigation was undertaken to estimate fusaric acid from culture filtrate of Fusarium udum by using thin layer chromatography. Acidic pH (3.00), temperature 28 to 30°C and 20 days after incubation was found to be optimum for maximum fusaric acid production.Keywords
Thin Layer Chromatography, Fusarium udum, Fusaric Acid.References
- Bacon, C.W., Porter, J.K., Norred, W.P. and Leslie, J.F. (1996). Production of fusaric acid by Fusarium species. Appl. & Environ. Microbiol., 62 (11) : 4039-4043.
- Chakrabarti, O.K. and Basuchaudhary, K.C. (1980). Correlation between virulence and fusaric acid production in Fusarium oxysporum f.sp. earthami Pnytopetbotoqie Z., 99: 43-46.
- Durate, M.L.R. and Archer, S.A. (2003). In vitro toxin production by Fusarium solani f. sp. piperis. Phytopathologia brasileria, 28 : 229-235.
- Hidaka, H. (1971). Fusaric (5-butylpicolinic) acid, an inhibitor of dopamine beta-hydroxylase, affects serotonin and noradrenaline. Nature. 231 : 54-55.
- Ibrahim, H.M., Yusoff, W.M.W., Hamid, A.A., Illias, R.M., Hassan, O. and Omar (2005). Optimization of medium for the production of β-cyclodextrin glucanotransferase using Central Composite Design (CCD). Proc. Biochem., 40 : 753-758.
- Kanniyan, J., Nene, Y.L., Reddy, M.V., Ryan, T.G. and Raju, T.N. (1984). Prevalence of pigeonpea diseases and associated crop losses in Asia, Africa and America. Tropical Pest Mgmt., 30 (1) : 62-71.
- Kern, H. (1972). Phytotoxine produced by fusaria. In : Wood, R.K.S., Balili, A. and Granidi, A. (Eds.). Phytotoxins plant disease. Academic Press, New York. pp. 35-48.
- Matta, R.J. and Wooten, G.F. (1973). Pharmacology of fusaric acid in man. Clin. Pharmacol. Ther., 14(4) : 541–546.
- Nachmias, S., Buchner, V., Tsror, L., Burstein, Y. and Keen, N. (1987). Differential phytotoxicity of peptides from culture fluids of Verticillium dahlia races 1 and 2 and their relationship to pathogenecity of the fungi on tomato. Phytopathol., 77 : 506-510.
- Nene, Y.L., Sheila, V.K. and Sharma, S.B. (1989). A world list of chickpea (Cicer arientinum L.) and pigeonpea [Cajanus cajan (L.) Millsp.] pathogens. Legumes pathology progress report-7 Patancheru, A.P. (INDIA), ICRISAT. 23 pp.
- Onesirosan, P., Mabuni, C.T., Durbin, R.D., Morin, R.B., Rich, D.H. and Arny, D.C. (1975). Toxin production by Corynespora cassiicola. Physiol. Plant Pathol., 5 : 295-298.
- Patel, J.D., Patil, M.R. and Sapkal, P.N. (1987). Toxic effect of culture filtrate of Curvularia lunata (Wakker) Boedijin and Alternaria tenuis Auct. PKV. Res. J., 11 : 189.
- Parmar, Pritesh, Oza, V.P. and Subramanian, R.B. (2010). Optimization of fusaric acid production by Fusarium oxysporum f.sp. lycopersici using response surface methodology. Indian J. Sci. & Tech., 3 (4) : 411-416.
- Pozuelo, J. (1976). Suppression of craving and withdrawal in humans addicted to narcotics or amphetamines by administration of alphamethylpara-tvrosine (AMPT) and 5-butylpicolinic acid (fusaric acid). Cleve. Clin. Q., 43 : 89-94.
- Raghuwanshi, A., Dudeja, S.S. and Khurana, A.L. (1994). Effect of temperature on flavonoid production in pigeonpea [Cajanus cajan (L.) Millsp] in relation to nodulation. Biol. Fertil. Soils, 17 : 314-316.
- Stefan, E. (2005). Thin-layer chromatography-an appropriate method for fusaric acid estimation. Biologia Bratislava, 60(1) : 104.
- Xu, X.H., Gu, G.F. and Shen, F.D. (1983). Studies on the relationship between fusaric acid and cotton fusariam wilt disease. Alta. Agric. Univen Pekinensis, 9 : 29-35.
- Response of Garlic to Organic and Inorganic Fertilizers
Authors
1 Department of Horticulture, Marathwada Agriculture University, Parbhani-431 402, IN
Source
Journal of Horticultural Sciences, Vol 2, No 2 (2007), Pagination: 130-133Abstract
An experiment was carried out to study the response of organic and inorganic fertilizers on growth, yield and quality of garlic (Allium sativum L.) cv. Yamuna Safed-3. The results revealed that the combined application of 25% RDF with 75% N through FYM @ 20 t/ha gave higher marketable bulb yield of 19.34t/ha as compared to other treatments which were statistically on par with 100% RDF (18.53 t/ha ) and 50% RDF + 50% N supplied as FYM (18.94 t/ha). It is suggested that for better biometric observations, bulb characters and marketable bulb yield in garlic, combined use of inorganic and organic source of nutrient supply is preferable.Keywords
Organic, Biometric, Garlic.- Efficacy of Phytoalexin against Fusarium udum Causing Wilt of Pigeonpea
Authors
1 Department of Plant Pathology and Agricultural Microbiology, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), IN
Source
International Journal of Plant Protection, Vol 10, No 1 (2017), Pagination: 117-121Abstract
The investigation was undertaken to test the efficacy of pytoalexin against Fusarium udum, Amongst the eleven concentrations of cajanol tested against F. udum concentrations causing wilt of pigeonpea i.e. 325, 350 and 375 μg/l were found most effective resulting in cent per cent growth inhibition of F. udum. The concentrations of cajanol viz., 350 μg/l and 375 μg/l were found to be most effective against conidial germination of F. udum. Besides the above, a commercial cajanol formulation was also tested against F. udum and the concentrations of 325 μg/l, 350 μg/l and 375 μg/l were againfound to be most effective in inhibiting the conidial growth germination.Keywords
Fusaric Acid, Fusarium udum, Thin Layer Chromatography.References
- Brinker, A.M. and Seigler, D.S. (1991). Isolation and Identification of piceatannol as a phytoalexin from sugarcane. Phytochemistry, 30 (10) : 3229-3232.
- Chakrabarti, D.K. and Basuchaudhary, K.C. (1980). Correlation between virulence and fusaric acid production in F. oxysporum f. sp. carthami. Phytopathologia, 99: 43-46.
- Fumiya and Arasuke (1983). Isolation and antimicrobial activity of the phytoalexin 6-methoxymellein from cultured carrot cells. Phytochemistry, 22 (3): 669-672.
- Hillocks, R.J. (1986). Resistance to Fusarium wilt in cotton and effects of interaction with ischolar_main-knot nematode. Ph.D. Thesis, University of Reading, U.K. pp. 419.
- Holmans, A.L. and Fuchs, A. (1970). Direct autobiography on thin-layer chromatograms as a method for detecting fungitoxic substances. J. Chromatography, 5 : 327-329.
- Ingham, J.L. (1976). Induced isoflavonoids from fungus infected stems of pigeonpea. Zeitschrift fur nature ferschung. 31: 504-508.
- Marley, P.S. and Hillocks, R.J. (1993). The role of phytoalexins in resistance to fusarium wilt in pigeonpea (Cajanus cajan). Plant Pathol., 42: 212-218.
- Sharon, A., Ghirlando, R. and Gressel, J. (1992). Isolation, purification and identification of 2-(p-Hydroxyphenoxy)-5, 7-Dihydroxychromone : A fungal induced phytoalexin from cassia obtusifolia. Plant Physiol., 98: 303-308.
- Smith, D.A. and Ingham, J.L. (1981). Phytoalexins and plant disease resistance. Biologist., 28(2): 69-74.
- Stevenson, P.C., Turner, H.C. and Haware, M.P. (1997). Phytoalexin accumulation in the ischolar_mains of chickpea (Cicer arietinum L.) seedling associated with resistance to Fusarium wilt (Fusarium oxysporum f. sp. ciceri). Physiological & Molecular Plant Pathol., 50: 167-178.
- Sundaresan, P., Ubalthoose, N. and Gunasekarn, P. (1993). Induction and accumulation of phytoalexins in cow pea ischolar_mains infected with a mycorrhizal fungus Glomus fasciculatum and their resistance to Fusarium wilt disease. J. Biosci., 18(2): 291-301.
- Xu, X.H., Gu, G.F. and Shen, F.D. (1983). Studies on the relationship between fusaric acid and cotton fusarial wilt disease. Alta. Agric. Univen Pekinensis, 9: 29-35.
- Efficiency of Pseudomonas fluorescens and Bacillus subtilis against Phytophthora spp. in Citrus
Authors
1 Department of Plant Pathology, Post Graduate Institute, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola (M.S.), IN
Source
International Journal of Plant Protection, Vol 9, No 1 (2016), Pagination: 15-20Abstract
Phytophthora was recorded in all the soil samples collected from citrus orchards and nurseries. Out of 25 soil samples Isolates of Pseudomonas fluorescens and Bacillus subtilis recorded from 11 and 5 soil samples, respectively. In vitro, four isolates of Pseudomonas fluorescens and two isolates of Bacillus subtilis were found effective against Phytophthora parasitica and other fungal pathogens of citrus viz., Pythium sp., Fusarium sp. and Colletotrichum gloeosporioides. Efficacy tested under sick soil method, only Bs-K1 (a) isolate of Bacillus subtilis was found most effective giving maximum disease control (81.34%), while other isolates of Pseudomonas fluorescens and Bacillus subtilis were not found much efficient.Keywords
Pseudomonas fluorescens, Bacillus subtilis, Phytophthora spp.- Compatibility of Phosphate Solubilizing Fungi with Agro Chemicals
Authors
1 Department of Plant Pathology, Post Graduate Institute, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola (M.S.), IN
Source
International Journal of Plant Protection, Vol 9, No 1 (2016), Pagination: 35-39Abstract
Compatibility of Phosphate solubilizing fungi with agrochemicals were tested in vitro. The results indicated that Aspergillus niger and Aspergillus flavus were not compatible with fungicides i.e. thiram, carbendazim, mancozeb and propiconazole and herbicides i.e. glyphosate, quizalfop-ethyl and fenoaxaprop p ethyl, whereas COC + streptocycline, streptocycline and insecticides i.e. cypermethrin, emamectin benzoate and imidacloprid were found compatible.Keywords
Compatibility, Agrochemical, Aspergillus niger, Aspergillus flavus.- Knowledge Level of the Onion Growers about Recommended Cultivation Practices for Onion (Allium cepa) Crop
Authors
1 Department of Extension Education, College of Agriculture, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli, Ratnagiri (M.S.), IN
2 Department of Extension Education, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola (M.S.), IN
3 Department of Extension Education, College of Agriculture, Dapoli (M.S.), IN
4 Department of Extension Education, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), IN
Source
Agriculture Update, Vol 10, No 2 (2015), Pagination: 109-114Abstract
The present research study was based on exploratory research design of social research. The field survey was carried out in Akola district of Vidarbha region of Maharashtra State during 2011-2012 for ascertaining the knowledge level of the onion growers about recommended cultivation practices for onion crop. The results revealed that 39.00 per cent of farmers had medium level of knowledge about recommended cultivation practices for onion crop followed by 35.00 per cent and 26.00 per cent of the farmers had high and low level of knowledge. In this context, it was implied that the information regarding recommended cultivation practices should be disseminated to the farmers by extension functionaries, KVK's, NGO's, through demonstrations, workshops, distributing printed material like leaflets; folders; etc. It will lend a hand for increasing knowledge, perception, adoption and ultimately the yield level of onion crop.Keywords
Knowledge, Adoption, Training Need.- Socio-Economic Impact of Farm Pond in Enhancing the Livelihood of Farming Community of Maharashtra
Authors
1 Department of Extension Education, Post Graduate Institute, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), IN
2 Department of Agricultural Extension, Post Graduate Institute, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), IN
Source
Agriculture Update, Vol 12, No 3 (2017), Pagination: 437-442Abstract
The study revealed that due to the availability of protective irrigation facility from farm pond the majority of Kharif and Rabi crops showed increase in average productivity viz., pigeonpea (34.38%) and green gram (20.35%) while Rabi crops wheat (30.16%), Rabi sorghum(27.44% ) and gram (19.67 % ). Whereas in case of vegetables it was increased by 13.20 per cent . The change in cropping intensity revealed that the gross cropped area increased by 8.41 per cent after construction of farm ponds. The cropping intensity was 106.11 per cent whereas after construction of farm ponds it was 115.03 per cent. The per cent change in cropping intensity was observed as 8.91 per cent to the base year. As for as Kharif crops are concerned there were no much change in area. However, the per cent change in total Rabi crops area was relatively more after construction of farm ponds. The area under Rabi sorghum, wheat, gram and vegetable crops (tomato, chilli, brinjal) were increased by (60.68%), (27.60%), (8.26 %) and (3.66) per cent to the total Rabi area, respectively. The gross cropped area was increased which may help farmers to bring more area under Rabi crops. Moreover, the availability of water in farm ponds had resulted in diversification of the cropping pattern with the substitution of more profitable crops. Therefore, in order to bring fallow land under cultivation and to increase cropping intensity, farmers need to be encouraged to follow adoption of farm pond technology in changing cropping intensity which may help the beneficiary for the socio-economic upliftment. After the construction of farm ponds majority (27.85%) of beneficiary farmers were having their annual income in range of Rs. 225001 to Rs. 300000/- followed by (27.14%) beneficiaries found in the category of Rs.300001 and above. The per cent change in annual income was 17.11 per cent. The independent variables viz., land holding, area under protective irrigation, risk preference and extension contact showed positive and highly significant relationship with overall impact of farm pond. The constraints such as farm pond sedimentation followed by disturbances of cow, pet and wild animals, with regard to getting subsidy’s, unawareness about farm pond scheme, high rate of evapotranspiration during summer season, large area in hectares of productive land goes under farm pond construction were expressed by the farming community.Keywords
Role of Farm Pond, Crop Productivity, Cropping Intensity, Income, Livelihood.References
- Bagdi, G.L., Sharma, J.S. and Kumar, V. (2001).Adoption of soil and water conservation technologies by the farmers of Sardar Sarovar Project Catchment, Gujarat State.Indian J. Soil Cons. 29(1) : 65-66.
- Bhange, S.B., Lande, S.B. and Sadaphale, S.S. (2005). Impact of National Watershed Development Programme.Asian J. Extn. Educ., 29 (1&2) : 62-65.
- Desai, R. (2005). An economic analysis of rain water harvesting structure-A case study of farm ponds M.Sc. (Ag.) Thesis, University of Agricultural Sciences, Dharwad, KARNATAKA (INDIA).
- Desai, Rajeshwari, Patil, B.L., Kunnal, L.B., Jayashree, H. and Basavaraj, H. (2007). Impact assessment of farm ponds in Dharwad district of Karnataka. Karnataka J. Agric. Sci., 20 (2) : 426-427.
- Knowledge of Extension Personnel about Horticultural Recommendations on Selected Fruit Crops
Authors
1 Department of Extension Education, College of Agriculture, Dhule (M.S.), IN
2 Department of Extension, Mahatma Phule Krishi Vidyapeeth, Rahuri (M.S.), IN
3 Department of Extension Education, College of Agriculture, Kolhapur (M.S.), IN
Source
Agriculture Update, Vol 6, No 3-4 (2011), Pagination: 155-160Abstract
The study was conducted in Nasik and Ahmednagar districts of Maharashtra, during the year 2009-2010. The data were collected from 259 extension personnel viz., Agricultural Assistants (197), Agricultural Supervisors (39) and Agricultural Officers (23). The study revealed that more than half (54.05 per cent) of the extension personnel belonged to the category of medium knowledge level whereas, 28.57 per cent of respondents belonged to high knowledge level category and 17.37 per cent of the respondents belonged to the category of low knowledge level. The variables like education, in-service training participation in professional organizations, facilities available, job satisfaction, achievement motivation and information source use were found to be highly significant relationship with knowledge level.Keywords
Fruit Crops, Extension Personnel, Knowledge Level.- Training Needs and Participation of Farmers in Dairy Management
Authors
1 Division of Extension Education, College of Agriculture, Pune (M.S.), IN
2 Department of Agri. Extension, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), IN
Source
Agriculture Update, Vol 5, No 3-4 (2010), Pagination: 271-273Abstract
The present research work was carried out for identification of the training needs of the dairy farmers. In the study, data of dairy farmers were collected from Ahmednagar and Pune districts of western Maharashtra. The results of study revealed that nearly two-third of the dairy farmers (64.17 per cent) felt need of training in preparation milk product while 57.92 per cent of the dairy farmers mostly needed training on rearing of calf. A majority of the dairy farmers (55.00 per cent) mostly required training on health management while 47.08 per cent of the cow owners mostly required training on feeding of animal. About 42.00 per cent of the dairy farmers mostly needed training on care of the cow at the time of calving and after calving, whereas 37.08 per cent, 36.25 per cent and 30.42 per cent of the dairy farmers mostly needed training on animal breeding, milking of cow and marketing of milk, respectively.Keywords
Training Need, Management Practices, Dairy Management.- Information Source Use by the Farm Scientists
Authors
1 Department of Extension Education, College of Agriculture, Kolhapur (M.S.), IN
2 Department of Agricultural Extension, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), IN
3 Department of Agricultural Extension, Zonal Agricultural Research Station, (National Agricultural Research Project), Kolhapur, (M.S.), IN
4 College of Agriculture, Kolhapur (M.S.), IN
Source
Agriculture Update, Vol 5, No 3-4 (2010), Pagination: 312-314Abstract
Modernization of agriculture greatly depends on creation of farm technology, but full use of available technology is not being made in many areas of the country. The farm scientists viz., Junior Research Assistants, Senior Research Assistants, Assistant Professors, Associate Professors and Professors working at the Central Campus of the University, Agricultural Colleges, N.A.R.P. headquarters and main research stations under the jurisdiction of the university was the universe of the investigation. At overall level 73.00 per cent of farm scientists have sometimes used personal letters and majority (63.27 per cent) always used the self observation methods as individual source.The majority (64.00 per cent) of farm scientists always used group contact sources like discussion with colleagues and discussion with farmers and sometimes used training class, seminars/workshops/symposia and professional meetings.The print media viz ; extension publications, newspapers and research journals were always used by majority (70 per cent) of farm scientists.Keywords
Farm Scientists, Information Source, Transfer of Technology.- Contribution of Farm Scientists in Transfer of Technology
Authors
1 Department of Extension Education, College of Agriculture, Kolhapur (M.S.), IN
2 Department of Agricultural Extension, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), IN
3 Department of Agri. Extension, Zonal Agri. Research Station, (National Agricultural Research Project), Kolhapur (M.S.), IN
4 College of Agriculture, Kolhapur (M.S.), IN
Source
Agriculture Update, Vol 5, No 3-4 (2010), Pagination: 330-332Abstract
The study was an attempt to study the contribution of farm scientists in transfer of technology. The 226 farm scientists working in the cadre viz., JRA/SRAs, APs and Asso.Prof./Professors under the jurisdiction of MPKV were considered. The majority of farm scientists had medium level of contribution in transfer of technology followed by high level contribution. The majority of Asst.Prof./Profs. had participated in various extension activities followed by Assist. Professors and JRA/SRAs. The large majority (85.00 per cent) of farm scientists participated in farmers melawa followed by farm publications(65.00 per cent)and newspapers (69.00 per cent) for transfer of technology.Keywords
Contribution, Farm Scientists, Transfer of Technology.- Information Processing and Contribution of Farm Scientists
Authors
1 Department of Extension Education, College of Agriculture, Kolhapur (M.S.), IN
2 Department of Extension Education, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), IN
Source
Agriculture Update, Vol 5, No 3-4 (2010), Pagination: 343-345Abstract
The present study was an attempt to study the information input,processing and contribution of Farm Scientists. The large majority (95.00 per cent) of farm scientists evaluated agricultural information by ‘discussion with fellow scientists and extension personnel’, ‘examine the validity of it’ and ‘consider the technical feasibility’ ‘Analysis in the light of past experience’ and judge against the socio-economic and agro-climatic condition of the area’ were the most commonly used methods of evaluation by more than 90.00 per cent of the farm scientists that large majority (90.00 per cent) of farm scientists stored agricultural information by ‘writing in notebooks’ closely followed by ‘maintaining the specified notebook’ 82.00 per cent. The majority (92.50 per cent) of APs stored information by ‘making subject wise file’ followed by 84.00 per cent JRA/SRAs and 74.00 per cent Asso. Prof./Profs. The majority (90.00 per cent) of JRA/SRAs stored information by method of ‘memorizing’ followed by 75.00 per cent APs and 70.00 per cent Asso. Prof./Profs. The large majority (94.00 per cent) of Asso. Prof./Profs. transformed information by radio talk followed by APs (91.00 per cent) and JRA/SRAs (72.00 per cent), 8 out of 9 variables had positive and significant relationship with contribution of farm scientists in transfer of technology (except workload received by them).Keywords
Information Input, Information Processing, Farm Scientist.- Effect of Integrated Use of Fertilizer P, Pressmud and Psm on N, P, K and S Content and Uptake by Summer Groundnut under Gujarat Condition
Authors
1 Department of Agronomy, Navsari Agricultural University, Navsari (Gujarat), IN
Source
An Asian Journal of Soil Science, Vol 4, No 1 (2009), Pagination: 32-36Abstract
In order to confirm the efficiency of intigration of inorganic fertilizer with pressmud and psm for yield, nutrient content and uptake of groundnut, the field experiments were conducted for two years on college research farm at, Navsari. The results indicated clearly that pod, haulm, karnal and shell yields of groundnut were significantly higher under optimum dose of 15 kg P from SSP (inorganic) + 5 t pressmud (organic) + 2.5 kg PSM (biofertilizer) ha-l. In gernal, the higher N, P and S content in Kernal was found as compared to haulm and shell. The higher N and K content in haulm were found as compaired to shell, where as P and S content in shell were higher than haulm during both the years. The higher N, P, K and S content and uptake were recorded by optimum dose of 15 kg P from SSP + 5 t pressmud + 2.5 kg PSM ha dynamics of manganese fractions in the LTFE’s soils.Keywords
N, P, K, S, Pressmud, PSM, Groundnut.- Multilayer Perceptron Using Levenberg Marquardt Algorithm for Imbalanced Data
Authors
1 Annasaheb Dange College of Engineering & Technology, Ahsta, Sangli, IN
Source
Programmable Device Circuits and Systems, Vol 10, No 5 (2018), Pagination: 85-88Abstract
Supervised Learning algorithms learn from training dataset. If dataset has unequal distribution among number of samples of classes, classifier gives inaccurate results for minor class and correct results for major class. This paper studies the cost sensitive learning of Multilayer Perceptron (MLP) neural network to overcome this problem. This cost sensitive approach is for binary dataset which modifies the objective function. By this change, network produces accurate results for minor class also. Levenberg-Marquardt (LM) weight updation algorithm is used for network learning. It is fast and efficient algorithm for neural network training rather than other weight updation algorithms. Statistical results performed on real time dataset, shows that how fast the training is with LM algorithm. Also the result shows that MLP classifier produces accurate results for both major and minor dataset.
Keywords
Imbalanced Data, Cost Sensitive Learning, Multilayer Perceptron Neural Network, Levenberg-Marquardt Algorithm.References
- Cristiano L. Castro,Antonio P. Braga, “Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data” IEEE transaction on neural networks and learning systems, Vol. 24, no. 6, June 2013
- Foster Provost,“Machine Learning from Imbalanced Data Sets 101” New York University
- Nathalie Japkowicz, Shaju Stephen, “The class imbalance problem - A systematic study”Intelligent Data Analysis Volume 6 Issue 5, October 2002
- G. M. Weiss,“Mining with rarity: A unifying framework” ACM SIGKDD ExplorationsNewslett., vol. 6, no. 1, pp. 719, Jun. 2004.
- Zhi-Hua Zhou,Xu-Ying Liu, “Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem” IEEE transaction on knowledge and data engineering
- Cristiano Leite Castro, Antonio Padua Braga, “ Artificial neural networks learning in ROC Space” in Proc. Int. Joint Conf. Comput., 2009, pp. 484489.
- R. Alejo, V.Garcia, J.M.Sotoca, R.A.Mollineda and J.S.Sanchez,“Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples” in Computational and Ambient Intelligence (Lecture Notes in Computer Science), vol. 4507. New York, USA:Springer-Verlag, 2007, pp. 162169.
- S.H. Oh, “Error back-propagation algorithm for classification of imbalanced data”, Neurocomputing, vol. 74, no. 6, pp. 10581061, Feb. 2011
- Hao Yu Bogdan M. ,Wilamowski, “Levenberg Marquadt Training”,Auburn University
- M. T. Hagan ,M. B. Menhaj, “Training feedforward networks with the Marquardt algorithm,IEEE Trans. Neural Netw., vol. 5, no. 6, pp. 989993, Nov. 1994.
- Bogdan M. Wilamowski,Hao Yu, “Improved Computation for Levenberg Marquardt Training”, IEEE transaction on neural networks, Vol. 21, No. 6, June 2010
- A. Frank and A. Asuncion, UCI machine learning repository, (2010)
- [Online]. Available: http://archive.ics.uci.edu/ml
- Shinde, S.B.,Sayyad, S.S.:Cost Sensitive Improved Levenberg Marquardt Algorithm for Imbalanced Data,Computational Intelligence and Computing Research (ICCIC), IEEE International Conference on IEEE, pp. 1-4, (2016).
- Shinde, S.B., Sayyad S. S. ,Mulla, A.N.:Multilayer Perceptron Using Modified Levenberg Marquardt Algorithm for Imbalanced Data,Inventi Impact: Soft Computing, vol.4, pp. 209-215, (2015)
- Personal, Socio-Economic and Psychological Characteristics of Farm Women
Authors
1 Department of Extension Education, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmed Nagar (M.S.), IN
2 Department of Extension Education, College of Agriculture, Pune (M.S.), IN
Source
Agriculture Update, Vol 14, No 3 (2019), Pagination: 203-208Abstract
The international development community has recognized that the agriculture is an engine of growth and poverty reduction in countries where it is the main occupation of the poor. But the agriculture sector in many developing countries is underperforming, in part because women, who represent a crucial resource in agriculture and the rural economy through their roles as farmers, labourers and entrepreneurs, almost everywhere face more severe constraints than men in access to productive resources. The analysis of personal, socio-economic and psychological characteristics of the women revealed that majority of them were middle age, has primary education, were married, had agriculture as major occupation, belonged to nuclear families of medium size, had medium experience in farming, dairying, goat rearing and poultry management had medium social participation, medium information seeking behaviour, small land holding, medium annual income and medium achievement motivation.Keywords
Farmwomen.References
- Adisa, B.O. and Akinkunmi, J.A. (2012). Assessing participation of women inpoultry production as a sustainable livelihood choice in Oyo state, Nigeria. Internat. J. Plant, Anim. & Environ. Sci., 2(2) : 74-82.
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- Knowledge of the Farm Women Regarding the Various Agricultural Activities
Authors
1 Department of Extension Education, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), IN
2 Department of Extension Education, College of Agriculture, Pune (M.S.), IN
Source
Agriculture Update, Vol 14, No 3 (2019), Pagination: 238-242Abstract
The international development community has recognized that the agriculture is an engine of growth and poverty reduction in countries where it is the main occupation of the poor. But the agriculture sector in many developing countries is under performing, in part because women, who represent a crucial resource in agriculture and the rural economy through their roles as farmers, laborers and entrepreneurs, almost everywhere face more severe constraints than men in access to productive resources. The knowledge of farm women regarding various agricultural activities was higher namely bird watching, harvesting, intercultural operations and lower in land preparation activities, marketing, post-harvest operations, seed bed preparation and processing activities. The majority (71.50 %) of the respondents had medium level knowledge about the various agricultural activities followed by 25.50 per cent of the respondents had low and 3.00 per cent of the respondents had high level of knowledge.Keywords
Farm Women, Agricultural Activities, Knowledge.References
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