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Using Markov models to predict the size distribution of dairy farms, New York State, 1968-1985

Stavins, R. N.; Stanton, B. F. - 1980

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Demand forecasting of the short-lifecycle dairy products

Mor, Rahul S.; Jaiswal, Swatantra Kumar; Singh, Sarbjit; … - In: Understanding the role of business analytics : some …, (pp. 87-117). 2019

Persistent link: https://www.econbiz.de/10011949840

Neural network forecasting in dairy farming

Fedotova, Gilyan V.; Gorlov, Ivan F.; Slozhenkina, Marina I. - In: International journal of trade and global markets 18 (2023) 2/3, pp. 207-216

Persistent link: https://www.econbiz.de/10015062023

Forecasting Fluid Milk Package Type with a Multi-Generation New Product Diffusion Model

Speece, Mark - 2015

remain on the market to provide competition. Multi-generation innovation diffusion models are available, but have only rarely …

Persistent link: https://www.econbiz.de/10013027424

Previsioni singole e combinate per migliorare l'efficienza previsionale : un'applicazione al settore lattiero-caseario

Rosa, Franco - In: Rivista di economia agraria 45 (1990) 1, pp. 27-53

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Forecasts of the dairy and beef situations in 1975 and 1978

Organisation for Economic Co-operation and Development - 1974

Persistent link: https://www.econbiz.de/10000330835

Forecasts of the dairy and beef situations in 1979 and 1982

1978

Persistent link: https://www.econbiz.de/10002313413

Sales forecasting of a dairy product manufacturing company : a comparative study of autoregressive integrated moving average and local linear neuro-fuzzy models

Tabrizi, Babak H.; Ghaderi, Seyed Farin - In: International journal of services and operations management 24 (2016) 4, pp. 531-547

Persistent link: https://www.econbiz.de/10011636039

An evaluation of point and density forecasts for selected EU farm gate milk prices

Bergmann, Dennis; O'Connor, Declan; Thümmel, Andreas - In: International journal of food and agricultural … 6 (2018) 1, pp. 23-53

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Physics-Informed Neural Networks for Predicting Liquid Dairy Manure Temperature During Storage

Genedy, Rana A.; Chung, Matthias; Ogejo, Jactone A. - 2022

Temperature is a critical factor that impacts the microbial, physical, and chemical processes associated with aerial emissions from stored manure. The aerial emissions can pollute the environment and degrade the quality of manure as a fertilizer. Further, temperature is commonly used as an input...

Persistent link: https://www.econbiz.de/10013302644