Crop Modeling and Decision Support by Weixing Cao, Jeffrey W. White, Enli Wang

By Weixing Cao, Jeffrey W. White, Enli Wang

"Crop Modeling and choice aid" provides 36 papers chosen from the foreign Symposium on Crop Modeling and choice help (ISCMDS-2008), held at Nanjing of China from 19th to 22nd in April, 2008. lots of those papers express the new advances in modeling crop and soil approaches, crop productiveness, plant structure and weather swap; the rests describe the advancements in model-based selection aid structures (DSS), version functions, and integration of crop versions with different info technologies.

The ebook is meant for researchers, lecturers, engineers, and graduate scholars on crop modeling and selection support.

Dr. Weixing Cao is a professor at Nanjing Agricultural collage, China.

Show description

Read or Download Crop Modeling and Decision Support PDF

Similar crop science books

Fundamentals of Weed Science, Third Edition

This booklet addresses herbicides and their use as a huge point of recent weed administration, and strives to put them in an ecological framework. Many weed scientists think agriculture is a constant fight with weeds - with no stable weed keep an eye on, strong and ecocnomic agriculture is most unlikely.

Insect antifeedants

Dependence upon neurotoxic chemical compounds as a way to regulate pest bugs has bring about a number of difficulties: environmental risks linked to broad-spectrum insecticides, adverse affects on non-target organisms equivalent to ordinary enemies and pollinators, and the advance of resistance to those chemical compounds between aim species.

Fruit and vegetables : harvesting, handling and storage

Thoroughly revised, up to date and enlarged, now encompassing volumes, this 3rd version of Fruit and greens stories and evaluates, in complete element, postharvest elements of a really vast foreign variety of unpolluted fruit and greens because it applies to their body structure, caliber, expertise, harvest adulthood selection, harvesting equipment, packaging, postharvest remedies, managed surroundings garage, ripening and transportation.

Extra info for Crop Modeling and Decision Support

Example text

2003), on the other hand, developed detailed biochemical models on the ideas of Farquhar and Wong (1984). A soil-crop-environment model is currently under development for the simulation of climate change effects on typical agricultural crops produced in Northern Europe. In order to equip the model with the best available approach to describe CO2 impact on crop growth, a number of selected algorithms were tested in the model framework against data from a Free Air Carbon 31 Enrichment (FACE) experiment (Weigel and Dämmgen, 2000).

Nevertheless, it should be pointed out that further studies are needed to specify the effects of growth conditions and genetic factors on model parameters. For calculating integral daily carbon gain from LEAFC3-N with an accuracy of at least r 5%, the accuracy of the slope of the Vm25–Na and Jm25–Na relationships should be of similar order. With respect to the other parameters considered here, biases up to r 20% or even higher can be tolerated for such calculations. The error of the calculated integral daily carbon gain will increase with increasing time step.

Nonhebel, S. (1996) Effects of temperature rise and increase in CO2 concentration on simulated wheat yields in Europe. Clim. Change 34 (1):73  90. , Bindi M.. (2002) Consequences of climate change for European agricultural productivity, land use and policy. Eur. J. Agron. 16 (4):239  262. , Frigon A. et al. (2006) Climate and climate change over North America as simulated by the Canadian RCM. J. Clim. 19 (13):3112  3132. Porter, J. (1993) AFRCWHEAT2: a model of the growth and development of wheat incorporating responses to water and nitrogen.

Download PDF sample

Rated 4.32 of 5 – based on 39 votes