We present a dynamic intraseasonal model of optimal investment in irrigation precision that takes into reductions in disease losses and acceleration of crop growth as well as water savngs. We derive the optimal levels of water use, investment in precision equipment and timing of harvest under...

We analyzed data obtained from the 2009 Southern Cotton Precision Farming Survey of farmers in twelve states (Alabama, Arkansas, Florida, Georgia, Louisiana, Missouri, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia) to identify reasons for adoption/nonadoption of...

Perennial crop production is inherently dynamic due to several salient physical characteristics including an establishment period of several years with low or no yields, long lives in commercial production (40 years or more), and path-dependence of yields on input use and other exogenous...

In this study, we formulate a stochastic dynamic framework for pest control over the growing season taking into account forecasts of weather conditions and pest infestation expectations. Using stochastic envelope theorem and stochastic comparative dynamics, we analytically show how the...

In this study, we formulate a stochastic dynamic framework for pest control over the growing season taking into account forecasts of weather conditions and pest infestation expectations. Using stochastic envelope theorem and stochastic comparative dynamics, we analytically show how the...

Doubling food production by 2050 under conditions of climate change and depleted natural resources requires increased investment and creative approaches. The Water-Efficient Maize for Africa (WEMA) project, a five-year public–private partnership begun in 2008 and led by the African...