A Dynamic programming Model is used to select the most profitable crop rotation from seven crop alternatives including pasture. Crop yields within a rotation are estimated by specifying growing season rainfall, water use efficiency and weed and disease penalties caused by the three previous years crop history. A provision exists to include the effect on yield of other natural resource limitations. Regional variations can be accounted for by varying rainfall, management practices, yield penalties and input costs. A nitrogen-phosphorous calculator ensures sufficient fertiliser is applied for the crop to achieve its expected yield. This approach can be used to measure the productivity implications of advances in technology as well as the impac...
Abstract tions. The vegetable rotation problem is similar but more complicated than rotatingRotation...
Crop rotations are known to have two main kinds of economic effects: direct effects on potential yie...
Biophysical simulation models (e.g. APSIM) using historical rainfall data are increasingly being use...
A Dynamic programming Model is used to select the most profitable crop rotation from seven crop alte...
Crop rotation systems are an important part of agricultural production for managing pests, diseases,...
Agriculture is facing increasing challenges under volatile commodity markets, on-going climate chang...
Agriculture is facing increasing challenges under volatile commodity markets, on-going climate chang...
We developed a dynamic farm level economic model of crop rotations including nitrogen fertilization,...
Modelling of cropping or crop-pasture rotations to date has been based on a predetermined, restricte...
Weeds and fungal diseases cause significant losses to grain crops in Australia. In many cases cultur...
This paper presents a dynamic crop rotation model that shows how crop yield and price volatility cou...
The goal of this paper is to investigate how operations research techniques, specifically dynamic pro...
A whole farm linear programming model, PRISM, was used to investigate the profitability of adopting ...
Sclerotinia rot is a disease caused by the fungus Sclerotinina sclerotiorum which affects a wide ran...
Sclerotinia rot is a disease caused by the fungus Sclerotinina sclerotiorum which affects a wide ran...
Abstract tions. The vegetable rotation problem is similar but more complicated than rotatingRotation...
Crop rotations are known to have two main kinds of economic effects: direct effects on potential yie...
Biophysical simulation models (e.g. APSIM) using historical rainfall data are increasingly being use...
A Dynamic programming Model is used to select the most profitable crop rotation from seven crop alte...
Crop rotation systems are an important part of agricultural production for managing pests, diseases,...
Agriculture is facing increasing challenges under volatile commodity markets, on-going climate chang...
Agriculture is facing increasing challenges under volatile commodity markets, on-going climate chang...
We developed a dynamic farm level economic model of crop rotations including nitrogen fertilization,...
Modelling of cropping or crop-pasture rotations to date has been based on a predetermined, restricte...
Weeds and fungal diseases cause significant losses to grain crops in Australia. In many cases cultur...
This paper presents a dynamic crop rotation model that shows how crop yield and price volatility cou...
The goal of this paper is to investigate how operations research techniques, specifically dynamic pro...
A whole farm linear programming model, PRISM, was used to investigate the profitability of adopting ...
Sclerotinia rot is a disease caused by the fungus Sclerotinina sclerotiorum which affects a wide ran...
Sclerotinia rot is a disease caused by the fungus Sclerotinina sclerotiorum which affects a wide ran...
Abstract tions. The vegetable rotation problem is similar but more complicated than rotatingRotation...
Crop rotations are known to have two main kinds of economic effects: direct effects on potential yie...
Biophysical simulation models (e.g. APSIM) using historical rainfall data are increasingly being use...