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Volumn 155, Issue , 2013, Pages 24-29

Utilization of artificial neural networks in the prediction of the bunches' weight in banana plants

Author keywords

Agriculture; Artificial neural networks (ANNs); Harvest; Mathematic; Models

Indexed keywords

AGRICULTURAL MODELING; AGRONOMY; ARTIFICIAL NEURAL NETWORK; CROP YIELD; CULTIVAR; FRUIT; MONOCOTYLEDON; PHENOTYPE; PRECISION; PREDICTION;

EID: 84875789592     PISSN: 03044238     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scienta.2013.01.026     Document Type: Article
Times cited : (38)

References (27)
  • 1
    • 30144441530 scopus 로고    scopus 로고
    • Experimental and neural network prediction of the performance of a solar tunnel drier for a solar drying jack fruit bulbs and leather
    • Bala B.K., Ashraf M.A., Uddin M.A., Janjai S. Experimental and neural network prediction of the performance of a solar tunnel drier for a solar drying jack fruit bulbs and leather. J. Food Proc. Eng. 2005, 28:552-566.
    • (2005) J. Food Proc. Eng. , vol.28 , pp. 552-566
    • Bala, B.K.1    Ashraf, M.A.2    Uddin, M.A.3    Janjai, S.4
  • 4
    • 0036643393 scopus 로고    scopus 로고
    • Modeling and optimization of variable retort temperature (VRT) thermal processing using coupled neural networks and genetic algorithms
    • Chen C.R., Ramaswamy H.S. Modeling and optimization of variable retort temperature (VRT) thermal processing using coupled neural networks and genetic algorithms. J. Food Eng. 2002, 53:209-220.
    • (2002) J. Food Eng. , vol.53 , pp. 209-220
    • Chen, C.R.1    Ramaswamy, H.S.2
  • 6
    • 22544487549 scopus 로고    scopus 로고
    • Artificial neural networks as an alternative tool in pine bark volume estimation
    • Diamantopoulou M.J. Artificial neural networks as an alternative tool in pine bark volume estimation. Comp. Elect. Agric. 2005, 48:235-244.
    • (2005) Comp. Elect. Agric. , vol.48 , pp. 235-244
    • Diamantopoulou, M.J.1
  • 8
    • 47549093934 scopus 로고    scopus 로고
    • Artificial neural network models for predicting soil thermal resistivity
    • Erzin Y., Rao H.B., Singh D.N. Artificial neural network models for predicting soil thermal resistivity. Int. J. Ther. Sci. Alg. 2008, 47:1347-1358.
    • (2008) Int. J. Ther. Sci. Alg. , vol.47 , pp. 1347-1358
    • Erzin, Y.1    Rao, H.B.2    Singh, D.N.3
  • 9
    • 33750514454 scopus 로고    scopus 로고
    • Prentice Hall, Princeton, 842 pp.
    • Haykin S. Neural Computing 2008, Prentice Hall, Princeton, 842 pp. 2nd ed.
    • (2008) Neural Computing
    • Haykin, S.1
  • 10
    • 72149092251 scopus 로고    scopus 로고
    • Forecasting maturity of green peas: an application of neural networks
    • Higgins A., Prestwidge Di Tirling S.D., Yost J. Forecasting maturity of green peas: an application of neural networks. Comp. Elect. Agric. 2010, 70:151-156.
    • (2010) Comp. Elect. Agric. , vol.70 , pp. 151-156
    • Higgins, A.1    Prestwidge Di Tirling, S.D.2    Yost, J.3
  • 11
    • 35348968970 scopus 로고    scopus 로고
    • Domestication, genomics and the future for banana
    • Heslop-Harrison J.S., Schwarzacher T. Domestication, genomics and the future for banana. Ann. Bot. 2007, 100:1073-1084.
    • (2007) Ann. Bot. , vol.100 , pp. 1073-1084
    • Heslop-Harrison, J.S.1    Schwarzacher, T.2
  • 12
    • 0027593923 scopus 로고
    • Use of neural network to predict industrial dryer performance
    • Huang B., Mujumdar A.S. Use of neural network to predict industrial dryer performance. Dry. Technol. 1993, 11:525-541.
    • (1993) Dry. Technol. , vol.11 , pp. 525-541
    • Huang, B.1    Mujumdar, A.S.2
  • 13
    • 33745947864 scopus 로고    scopus 로고
    • Application of genetic algorithm for optimization of vegetable oil hydrogenation process
    • Izadifar M., Jahromi M.Z. Application of genetic algorithm for optimization of vegetable oil hydrogenation process. J. Food Eng. 2007, 78:1-8.
    • (2007) J. Food Eng. , vol.78 , pp. 1-8
    • Izadifar, M.1    Jahromi, M.Z.2
  • 14
    • 1942504231 scopus 로고    scopus 로고
    • An artificial neural network model for estimating crop yields using remotely sensed information
    • Jiang S.D., Jiang D., Yang X., Clinton N., Wang N. An artificial neural network model for estimating crop yields using remotely sensed information. Int. J. Remote Sens. 2004, 25:1723-1732.
    • (2004) Int. J. Remote Sens. , vol.25 , pp. 1723-1732
    • Jiang, S.D.1    Jiang, D.2    Yang, X.3    Clinton, N.4    Wang, N.5
  • 15
    • 70349569467 scopus 로고    scopus 로고
    • Analysis of Andean blackberry (Rubus glaucus) production models obtained by means of artificial neural networks exploiting information collected by small-scale growers in Colombia and publicly available meteorological data
    • Jiménez J., Galo J., Satizábal H.F., Barreto S.M.A., Pérez-Uribe A., Jarvis A., Van Damme P. Analysis of Andean blackberry (Rubus glaucus) production models obtained by means of artificial neural networks exploiting information collected by small-scale growers in Colombia and publicly available meteorological data. Comp. Electr. Agric. 2009, 69:198-208.
    • (2009) Comp. Electr. Agric. , vol.69 , pp. 198-208
    • Jiménez, J.1    Galo, J.2    Satizábal, H.F.3    Barreto, S.M.A.4    Pérez-Uribe, A.5    Jarvis, A.6    Van Damme, P.7
  • 16
    • 77953117296 scopus 로고    scopus 로고
    • Application of artificial neural networks to predict Clostridium botulinum growth as a function of Zataria multiflora essential oil, ph, NaCl and temperature
    • Khanzadi S., Gharibzadeh S., Raoufy M.R., Razavilar V., Khaksar R., Radmehr B. Application of artificial neural networks to predict Clostridium botulinum growth as a function of Zataria multiflora essential oil, ph, NaCl and temperature. J. Food Saf. 2010, 30:490-505.
    • (2010) J. Food Saf. , vol.30 , pp. 490-505
    • Khanzadi, S.1    Gharibzadeh, S.2    Raoufy, M.R.3    Razavilar, V.4    Khaksar, R.5    Radmehr, B.6
  • 19
    • 34848923325 scopus 로고    scopus 로고
    • Modelling of tomato drying using artificial neural network
    • Movagharnejad K., Nikzad M. Modelling of tomato drying using artificial neural network. Comp. Elect. Agric. 2007, 59:78-85.
    • (2007) Comp. Elect. Agric. , vol.59 , pp. 78-85
    • Movagharnejad, K.1    Nikzad, M.2
  • 20
    • 77957296639 scopus 로고    scopus 로고
    • Postharvest evaluation of banana genotypes cultivated in Roraima
    • Muniz E.N., Mourao Junior M., Duarte O.R. Postharvest evaluation of banana genotypes cultivated in Roraima. Brazil. Acta Hort. 2010, 864:403-410.
    • (2010) Brazil. Acta Hort. , vol.864 , pp. 403-410
    • Muniz, E.N.1    Mourao Junior, M.2    Duarte, O.R.3
  • 21
    • 75349096310 scopus 로고    scopus 로고
    • Olive oil content prediction models based on image processing
    • Ram T., Wiesman Z., Partmet I., Edan Y. Olive oil content prediction models based on image processing. Biosys. Eng. 2010, 105:221-232.
    • (2010) Biosys. Eng. , vol.105 , pp. 221-232
    • Ram, T.1    Wiesman, Z.2    Partmet, I.3    Edan, Y.4
  • 23
    • 84875798312 scopus 로고    scopus 로고
    • In: Zilton José Maciel Cordeiro; Aristóteles Pires de Matos; Sebastião de Oliveira e Silva. (Org.). Recomendações técnicas sobre a Sigatoka-negra da bananeira. Cruz das Almas: Nova Civilização Ltda
    • Silva, S.O., Morais-Lino, L.S., Serejo, J.A.S., 2011. Melhoramento genético de bananeira para resistência à Sigatoka-negra. In: Zilton José Maciel Cordeiro; Aristóteles Pires de Matos; Sebastião de Oliveira e Silva. (Org.). Recomendações técnicas sobre a Sigatoka-negra da bananeira. Cruz das Almas: Nova Civilização Ltda 1, 61-70.
    • (2011) Melhoramento genético de bananeira para resistência à Sigatoka-negra , vol.1 , pp. 61-70
    • Silva, S.O.1    Morais-Lino, L.S.2    Serejo, J.A.S.3
  • 25
    • 16844366163 scopus 로고    scopus 로고
    • Artificial neural networks to predict corn yield from compact airborne spectrographic imager data
    • Uno Y., Prasher S.O., Lacroix R., Goel P.K., Karimi Y., Viau A., Patel R.M. Artificial neural networks to predict corn yield from compact airborne spectrographic imager data. Comp. Elect. Agric. 2005, 47:149-161.
    • (2005) Comp. Elect. Agric. , vol.47 , pp. 149-161
    • Uno, Y.1    Prasher, S.O.2    Lacroix, R.3    Goel, P.K.4    Karimi, Y.5    Viau, A.6    Patel, R.M.7
  • 27
    • 33846681532 scopus 로고    scopus 로고
    • Neural network modeling of ecosystems: a case study on cabbage growth system
    • Zhang W., Bai X.C., Liu G. Neural network modeling of ecosystems: a case study on cabbage growth system. Ecol. Model 2007, 201:3-4.
    • (2007) Ecol. Model , vol.201 , pp. 3-4
    • Zhang, W.1    Bai, X.C.2    Liu, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.