Crop Forecasting Articles & Analysis
10 articles found
From climate change and disease, to declining production and uncertainties around tariffs and trade, the global orange juice sector is going through unprecedented upheaval, which will result in winners and losers for both growers and ...
The impact of potential future climate change scenarios on the irrigation water requirements (IRRs) of two major agricultural crops (coffee and seed corn) in Hawai'i was studied using the Irrigation Management System (IManSys) model. In addition to IRRs calculations, IManSys calculates runoff, deep percolation, canopy interception, and effective rainfall based on plant growth parameters, site ...
In this paper, the calibration and prediction capacity of a supply response positive mathematical programming model (PMP) for the Alentejo region are evaluated. The model is calibrated with prices and agricultural subsidies of the base year (2000), using the specification rules of the cost function standard, Paris standard, average cost and exogenous elasticities. Then, the model is utilised for ...
Real-time prediction of daily reference crop evapotranspiration (ET0) is the basis for estimating crop evapotranspiration and for computing crop irrigation requirements. In recent years, least-squares support vector machines (LSSVMs) have been applied for forecasting in many fields of engineering. In this paper, LSSVMs are ...
Future research that builds on these results will better explain, predict, and forecast crop ...
Accurate crop development models are important tools in evaluating the effects of water deficits on crop yield or productivity. The FAO AquaCrop model predicts crop productivity, water requirement, and water use efficiency (WUE) under water-limiting conditions. A set of conservative parameters [calibrated and validated for maize (Zea mays L.) in a prior study and considered applicable to a wide ...
This paper aims to assess the strength and weaknesses of information and data collection on food security and the existing market information system, identify gaps in the early warning system of impending food security disasters, and analyse the capacity to forecast yield and crop production and identify the gaps. Finally, the paper concludes with a discussion of ...
Nitrogen fertilization of turfgrass continues to be scrutinized due to environmental concerns. Practices that reduce fertilizer inputs without sacrificing turfgrass quality are needed, but a reliable test of N status in turfgrass is not currently available. The Illinois soil N test has been developed to predict crop response to applied N by measuring the amount of amino sugar N in the soil. Amino ...
Field floral phenological data were used to determine the anthesis phase, to ascertain which period of the pollination records should be included in the models. Forecast models indicated that annual prepeak pollen index (PI) was the variable most influencing the final olive crop. ...
Previously published data were used to examine the N economy of pulse crops typically grown on the Northern Great Plains with the goal of assessing the potential contribution of field pea (Pisum sativum L.), lentil (Lens culinaris Medik.), chickpea (Cicer arietinum L.), common bean (Phaseolus vulgaris L.), and faba bean (Vicia faba L.) to soil N accretion. Incremental changes in soil N associated ...