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In agriculture, the yield is a measurement of the amount of a crop grown, or product such as wool, meat or milk produced, per unit area of land. The seed ratio is another way of calculating yields. Cereal yield in tons per hectare and kilograms of nitrogenous fertilizer applied per hectare of cropland.
CropSyst, a multi-year multi-crop daily time-step crop simulation model developed by a team at Washington State University's Department of Biological Systems Engineering. [ 4 ] DSSAT , the Decision Support System for Agro-technology Transfer, is a multi-crop, multi-year crop simulation model which evolved from the IBSNAT (1982-1993) and ICASA ...
Wheat yields in least developed countries since 1961. The steep rise in crop yields in the U.S. began in the 1940s. The percentage of growth was fastest in the early rapid growth stage. In developing countries maize yields are still rapidly rising. [6] Productivity is driven by changes in either agricultural technique or improvements in technology.
The combine grain yield monitor is a device coupled with other sensors to calculate and record the crop yield or grain yield as a modern-day combine harvester operates. Yield monitors are a part of the precision agriculture products available to producers today that provide producers with the tools to reduce costs, increase yields, and increase efficiency.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
An example of a multiple disease/pest forecasting system is the EPIdemiology, PREdiction, and PREvention (EPIPRE) system developed in the Netherlands for winter wheat that focused on multiple pathogens. [6] USPEST.org graphs risks of various plants diseases based on weather forecasts with hourly resolution of leaf wetness.
Agrometeorology is the study of weather and use of weather and climate information to enhance or expand agricultural crops or to increase crop production. Agrometeorology mainly involves the interaction of meteorological and hydrological factors, on one hand and agriculture, which encompasses horticulture , animal husbandry , and forestry .
Crop rotation is also used to control pests and diseases that can become established in the soil over time. The changing of crops in a sequence decreases the population level of pests by (1) interrupting pest life cycles and (2) interrupting pest habitat. [10] Plants within the same taxonomic family tend to have similar pests and pathogens.