Yield prediction using artificial neural networks

Communications in Computer and Information Science

Volumn 142 CCIS, Issue , 2011, Pages 315-317

  Baral, Seshadri ^a   Kumar Tripathy, Asis ^b   Bijayasingh, Pritiranjan ^c  

^a INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^b NM Institute of Engineering and Technology   (India)

^c Balasore College of Engineering and Technology   (India)

Author keywords

ANN; Models for yield prediction; PSO; Yield Prediction of Paddy

Indexed keywords

ANN; ARTIFICIAL NEURAL NETWORK; DAILY TEMPERATURES; DIFFERENT CLIMATIC ZONES; HISTORICAL DATA; OPTIMIZATION TECHNIQUES; PSO; YIELD PREDICTION; YIELD PREDICTION OF PADDY;

FORECASTING; INFORMATION TECHNOLOGY; PARTICLE SWARM OPTIMIZATION (PSO);

NEURAL NETWORKS;

EID: 79953006707     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-19542-6_57     Document Type: Conference Paper

References (3)

1. Heinzow, T., Tol, S.J.: Prediction of Crop yields across four climatic zones in Germany: An Artificial Neural Network Approach. Research unit Sustainability and Global Change, Hamburg University (September 2003)
2. Kaul, M., Hill, L.R., Walthall, C.: Artificial neural networks for corn and soybean yield prediction. Agricultural Systems 85, 1-18 (2005) (Pubitemid 40707664)
3. Drummond, S.T., Sudduth, K.A., Joshi, A., Birrell, S.J., Kitchen, N.R.: Statistical and neural methods for site-specific yield prediction. Transactions of the ASAE 46(1), 5-14 (2003) (Pubitemid 36914403)