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Regional Crop Modeling: How Future Climate May Impact Crop Yields in Switzerland
Lehmann, Niklaus - In: Journal of Socio-Economics in Agriculture (Until 2015: … 4 (2011) 1, pp. 269-291
management factors influenced mean wheat yield levels in twelve study regions in the Swiss Plateau during the period 1990 – 2008 …. In addition, we assess potential impacts of climate change on wheat yield levels and yield variability. Applying a … warming is assumed to decrease wheat yield levels in all study regions between 4-10%. Nevertheless, negative impacts of …
Persistent link: https://www.econbiz.de/10011240700
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An investigation into the interdependence of global water indices : a VAR analysis
Reza, Rajibur; Tularam, Gurudeo Anand; Li, Bin - In: Applied economics 49 (2017) 8, pp. 769-796
Persistent link: https://www.econbiz.de/10011810888
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Adjacency-clustering and its application for yield prediction in integrated circuit manufacturing
Hochbaum, Dorit S.; Liu, Sheng - In: Operations research 66 (2018) 6, pp. 1571-1585
Persistent link: https://www.econbiz.de/10011971662
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Prediction of winter wheat yield with the SWAP model using pedotransfer functions: An evaluation of sensitivity, parameterization and prediction accuracy
de Jong van Lier, Quirijn; Wendroth, Ole; Dam, Jos C. van - In: Agricultural Water Management 154 (2015) C, pp. 29-42
predicting the water-limited yield of a winter wheat crop using soil texture data to obtain soil hydraulic parameters by a …
Persistent link: https://www.econbiz.de/10011263895
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Estimating and incorporating the effects of a future QE project into a semiconductor yield learning model with a fuzzy set approach
Chen, Toly - In: European Journal of Industrial Engineering 3 (2009) 2, pp. 207-226
Yield prediction is a very important task to a semiconductor manufacturing factory. However, it is difficult because yield improvement is a learning process, and the uncertainty and variation inherent in the learning process are not easy to consider. In addition, the competition in the...
Persistent link: https://www.econbiz.de/10005078475
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Estimation of the farm-level yield-weather-relation using machine learning : Vortrag anlässlich der 61. Jahrestagung der GEWISOLA
Schmidt, Lorenz; Odening, Martin; Schlanstein, Johann; … - 2021
Persistent link: https://www.econbiz.de/10013369921
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Rice yield prediction model using normalized vegetation and water indices from Sentinel-2A satellite imagery datasets
Htun, Aung Myint; Shamsuzzoha, Md.; Ahamed, Tofael - In: Asia-Pacific journal of regional science 7 (2023) 2, pp. 491-519
Persistent link: https://www.econbiz.de/10014327340
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Deficit irrigation scheduling and yield prediction of ‘Kinnow’ mandarin (Citrus reticulate Blanco) in a semiarid region
Panigrahi, P.; Sharma, R.K.; Hasan, M.; Parihar, S.S. - In: Agricultural Water Management 140 (2014) C, pp. 48-60
Scarcity of irrigation water in critical growth stages of the crop is one of the major causes of low productivity and decline of citrus orchards. Regulated deficit irrigation (RDI) is a recently proposed water saving technique in irrigated agriculture. The present study was planned with a...
Persistent link: https://www.econbiz.de/10011047637
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PREDICTION OF CROP YIELDS ACROSS FOUR CLIMATE ZONES IN GERMANY: AN ARTIFICIAL NEURAL NETWORK APPROACH
Heinzow, Thomas; Tol, Richard S.J. - Forschungsstelle Nachhaltige Umweltentwicklung (ZMK), … - 2003
This paper shows the ability of artificial neural network technology to be used for the approximation and prediction of crop yields at rural district and federal state scales in different climate zones based on reported daily weather data. The method may later be used to construct regional time...
Persistent link: https://www.econbiz.de/10005634615
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Estimating and incorporating the effects of a future QE project into a semiconductor yield learning model with a fuzzy set approach
Chen, Toly - In: European Journal of Industrial Engineering 3 (2009) 2, pp. 207-226
Yield prediction is a very important task to a semiconductor manufacturing factory. However, it is difficult because yield improvement is a learning process, and the uncertainty and variation inherent in the learning process are not easy to consider. In addition, the competition in the...
Persistent link: https://www.econbiz.de/10008563607