Sentences with phrase «crop yield data»

This approach generates large datasets with thousands of simulated crop yield data.

Not exact matches

The data also helps the company adjust variables like temperature and humidity to optimize its crop yields.

Even resistant - to - change farmers are taking control: No longer at the mercy of the natural elements, they're harnessing big data to maximize crop yields and increase productivity.

The two DSSAT crop modules were evaluated using measured data on soil water and crop yield from four treatments: irrigated cotton without a cover crop, irrigated cotton with winter wheat as a cover crop, dryland cotton without a cover crop, and dryland cotton with a winter wheat cover crop at the Texas A&M AgriLife Research Station at Chillicothe from 2011 to 2015.

The scientists collected data to determine the mulch's impact on soil moisture, soil temperature, crop yield, and weed emergence.

How to make sense of all of the data available, to generate useful information for farmers, economists, and others who need to know the crop yield, is an important challenge,» Guan says.

Coauthor David Lobell from Stanford University, who crafted the idea with Guan, says leveraging all of this satellite data together greatly increases the capacity to monitor crops and crop yield.

For example, satellite data is being harnessed by researchers at the University of Illinois for a more complete picture of cropland and to estimate crop yield in the U.S. Corn Belt.

CIAT's big data operation has yielded game - changing discoveries for the Colombian rice industry — solutions that can easily be scaled up and broadened to include other crops.

GOBii's ultimate goal is to develop genomic software tools that can help breeders access extensive genomic data to breed crops that are more disease resistant, drought tolerant, and higher yielding.

Yet for most major crop - producing countries, including data - rich regions such as the USA and Europe, there are few reliable data on yield potential (Yp) or water - limited yield potential (Yw).

Andy, check the data at FAOstat: crop yields are higher in warmer countries than in cold, cane sugar and rice can not even be grown in Scotland, and despite alleged global warming crop yields have increased hugely everywhere since the FAO data sets begin in 1960.

U.S. Department of Agriculture data tables provide evidence for the importance of the eight Midwest states for U.S. agricultural production.3 Evidence for the effect of future elevated carbon dioxide concentrations on crop yields is based on scores of greenhouse and field experiments that show a strong fertilization response for C3 plants such as soybeans and wheat and a positive but not as strong a response for C4 plants such as corn.

Observational data, evidence from field experiments, and quantitative modeling are the evidence base of the negative effects of extreme weather events on crop yield: early spring heat waves followed by normal frost events have been shown to decimate Midwest fruit crops; heat waves during flowering, pollination, and grain filling have been shown to significantly reduce corn and wheat yields; more variable and intense spring rainfall has delayed spring planting in some years and can be expected to increase erosion and runoff; and floods have led to crop losses.4, 5,6,7

Savage's methodology couldn't have been simpler: He lined up and charted organic and conventional yield data for the same crop and state in which they were harvested.

Perceptibly: Probable but not validated by empirical data Net negative or positive (Judith's «winners and losers»): Unknown, some general indication that higher CO2 levels and lightly higher temperatures will have a net beneficial impact on overall crop yields..

The USDA / NASS studies tracked harvested acres without differentiating between irrigated and non-irrigated acreage; it gathered data on planted vs. harvested acres for some crops but not others; it did not account for systems in which «baby vegetable» crops (usually organic) are grown in short rotations on the same plot (such as spinach, lettuce, and carrots) and thus have lower yields; and it omitted some data that would have revealed too much information about individual farmers, in cases where very few growers produce a particular crop.

The Southeastern Legal Foundation notes that the Morocco National Communication «lends some support [to the Agoumi reference], saying that by 2020 during drought conditions cereal yields would decline up to 50 %» but that «the data apply to cereal yields only, not crops in general as is implied by the IPCC.»

Observed data and many studies indicate that a warming climate has a negative effect to crop production, generally reduce yields of staple cereals such as wheat, rice and maize, which, however, differs between regions and latitudes.

Using data for 1982 — 98 from 618 counties for corn and 444 counties for soybeans, they concluded that for each 1 - degree - Celsius rise in temperature, yields of each crop declined by 17 percent.

The data out there tell us that increased CO2 levels act to enhance crop yields of both C3 and C4 crops, with a higher impact for C3 crops, which include 95 % of all plants and most crop plants.

These guys (e.g. Lobell) try to explain the level and trend of crop yields (often on a grid scale covering the globe, given you have sufficient data) using statistical models that include all kinds of independent variables (soils, input use, varieties, pressure by pests, management etc.).

While a recent report tells us current droughts in the western USA hardly make the top ten, we have this from Stanford University, a claim about drought related crop insurance claims that doesn't seem to match data on national yields and trend.

You are unable to demonstrate based on empirical data that these temperatures will be harmful — and there are some indications that a slightly warmer temperature (especially in the higher latitudes, where GH warming is supposed to oiccur) will increase arable land surface across N. America, and Eurasia, lengthen growing seasons and result in higher overall crop yields.

There is active modelling to hindcast and forecast yields of major crops with data from decadal time spans under climate change.

The team used high - resolution weather pattern, crop yield and hop quality data to gauge the impact of climate change on the Saaz crops between 1954 to 2006.