Search Results - "HOCHMAN, Zvi"

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  1. 1

    Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods by Kamir, Elisa, Waldner, François, Hochman, Zvi

    “…Closing the yield gap between actual and potential wheat yields in Australia is important to meet the growing global demand for food. The identification of…”
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  2. 2

    Seasonal climate forecasts provide more definitive and accurate crop yield predictions by Brown, Jaclyn N., Hochman, Zvi, Holzworth, Dean, Horan, Heidi

    Published in Agricultural and forest meteorology (15-10-2018)
    “…•Seasonal climate forecasts narrow the prediction range for wheat yield.•In some instances the climate forecast provides more accurate yield…”
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  3. 3

    All pixels are useful, but some are more useful: Efficient in situ data collection for crop-type mapping using sequential exploration methods by Fowler, Jared, Waldner, François, Hochman, Zvi

    “…•We simulate and compare sampling methods to inform in situ data collection.•We propose an index based on Moran's I to select efficient sampling…”
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  4. 4

    Design of sustainable dryland crop rotations require value judgements and efficient trade-offs by Hochman, Zvi, Garcia, Javier Navarro, Horan, Heidi, Whish, Jeremy, Bell, Lindsay

    Published in Environmental research letters (01-06-2021)
    “…Abstract In agriculture, sustainability is framed as an aspiration to achieve multiple goals including positive production, environmental and social outcomes…”
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  5. 5

    Beyond the plot: technology extrapolation domains for scaling out agronomic science by Rattalino Edreira, Juan I, Cassman, Kenneth G, Hochman, Zvi, van Ittersum, Martin K, van Bussel, Lenny, Claessens, Lieven, Grassini, Patricio

    Published in Environmental research letters (01-01-2018)
    “…Ensuring an adequate food supply in systems that protect environmental quality and conserve natural resources requires productive and resource-efficient…”
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  6. 6

    Scope for improved eco-efficiency varies among diverse cropping systems by Carberry, Peter S., Liang, Wei-li, Twomlow, Stephen, Holzworth, Dean P., Dimes, John P., McClelland, Tim, Huth, Neil I., Chen, Fu, Hochman, Zvi, Keating, Brian A.

    “…Global food security requires eco-efficient agriculture to produce the required food and fiber products concomitant with ecologically efficient use of…”
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  7. 7

    Combining Fractional Cover Images with One-Class Classifiers Enables Near Real-Time Monitoring of Fallows in the Northern Grains Region of Australia by Zhao, Liya, Waldner, François, Scarth, Peter, Mack, Benjamin, Hochman, Zvi

    Published in Remote sensing (Basel, Switzerland) (01-04-2020)
    “…Fallows are widespread in dryland cropping systems. However, timely information about their spatial extent and location remains scarce. To overcome this lack…”
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  8. 8

    Causes of wheat yield gaps and opportunities to advance the water-limited yield frontier in Australia by Hochman, Zvi, Horan, Heidi

    Published in Field crops research (01-11-2018)
    “…•Insufficient N accounts for a 40% loss in wheat yields in Australia.•Tillage; time of sowing; summer fallow weeds; and low seedling density also limit…”
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  9. 9

    Climate trends account for stalled wheat yields in Australia since 1990 by Hochman, Zvi, Gobbett, David L., Horan, Heidi

    Published in Global change biology (01-05-2017)
    “…Global food security requires that grain yields continue to increase to 2050, yet yields have stalled in many developed countries. This disturbing trend has so…”
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  10. 10

    Needle in a haystack: Mapping rare and infrequent crops using satellite imagery and data balancing methods by Waldner, François, Chen, Yang, Lawes, Roger, Hochman, Zvi

    Published in Remote sensing of environment (01-11-2019)
    “…Most cropping systems around the world are organised around few dominant crops and a larger number of less frequent crops. While rare and infrequent crops…”
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  11. 11

    Evaluation of nitrogen bank, a soil nitrogen management strategy for sustainably closing wheat yield gaps by Meier, Elizabeth A., Hunt, James R., Hochman, Zvi

    Published in Field crops research (01-02-2021)
    “…•Wheat yield simulated in response to maintaining target soil mineral N (‘N banks’).•N banks close yield gaps by supporting water-limited potential yield every…”
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  12. 12

    High temporal resolution of leaf area data improves empirical estimation of grain yield by Waldner, François, Horan, Heidi, Chen, Yang, Hochman, Zvi

    Published in Scientific reports (31-10-2019)
    “…Empirical yield estimation from satellite data has long lacked suitable combinations of spatial and temporal resolutions. Consequently, the selection of…”
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  13. 13

    Yield gap analysis with local to global relevance—A review by van Ittersum, Martin K., Cassman, Kenneth G., Grassini, Patricio, Wolf, Joost, Tittonell, Pablo, Hochman, Zvi

    Published in Field crops research (01-03-2013)
    “…► We define the concepts relevant for yield gap analysis. ► We review different methods for local and global yield gap analyses. ► Global methods are coarse…”
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  14. 14
  15. 15

    Data rich yield gap analysis of wheat in Australia by Hochman, Zvi, Gobbett, David, Horan, Heidi, Navarro Garcia, Javier

    Published in Field crops research (01-10-2016)
    “…•Data rich yield gap analysis was conducted for wheat in Australia during 1996–2010.•Australian wheat growers are achieving 49% their water-limited yield…”
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  16. 16

    Assessment of the sustainability of different cropping systems under three irrigation strategies in the North China Plain under climate change by Yan, Zongzheng, Zhang, Xiying, Rashid, Muhammad Adil, Li, Hongjun, Jing, Haichun, Hochman, Zvi

    Published in Agricultural systems (01-02-2020)
    “…The annual double-cropping system of winter wheat and summer maize requires a large amount of irrigation which has led to the rapid depletion of groundwater…”
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  17. 17

    Improving early-season wheat yield forecasts driven by probabilistic seasonal climate forecasts by Jin, Huidong, Li, Ming, Hopwood, Garry, Hochman, Zvi, Bakar, K Shuvo

    Published in Agricultural and forest meteorology (15-03-2022)
    “…•Rules to attribute APSIM's yield forecast skill to seasonal climate forecasts (SCF).•Use ECPP and Schaake shuffle to downscale four climate variables suitable…”
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  18. 18

    Data fusion using climatology and seasonal climate forecasts improves estimates of Australian national wheat yields by Mitchell, Patrick J., Waldner, François, Horan, Heidi, Brown, Jaclyn N., Hochman, Zvi

    Published in Agricultural and forest meteorology (01-06-2022)
    “…•Yield forecasts based on climatology, model and data fusion methods were assessed.•Climatology and climate model forecasts were biased in opposite…”
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  19. 19

    Yield potential determines Australian wheat growers’ capacity to close yield gaps while mitigating economic risk by Monjardino, Marta, Hochman, Zvi, Horan, Heidi

    “…Australia’s farmers are among the most efficient in the world, despite a relatively large gap between potential and achieved water-limited grain yield. With…”
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  20. 20

    Global priorities of environmental issues to combat food insecurity and biodiversity loss by Scherer, Laura, Svenning, Jens-Christian, Huang, Jing, Seymour, Colleen L., Sandel, Brody, Mueller, Nathaniel, Kummu, Matti, Bekunda, Mateete, Bruelheide, Helge, Hochman, Zvi, Siebert, Stefan, Rueda, Oscar, van Bodegom, Peter M.

    Published in The Science of the total environment (15-08-2020)
    “…Various environmental challenges are rapidly threatening ecosystems and societies globally. Major interventions and a strategic approach are required to…”
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