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Agricultural Mechanization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ece3.5177openalex-extracted
Machine learning of large‐scale spatial distributions of wild turkeys with high‐dimensional environmental data
inferredcites →https://doi.org/10.1002/joc.5086openalex-extracted
WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas
inferredcites →https://doi.org/10.1007/s13593-019-0563-5openalex-extracted
A farm-level assessment of labor and mechanization in Eastern and Southern Africa
inferredcites →https://doi.org/10.1016/bs.hesagr.2021.10.007openalex-extracted
Machine learning in agricultural economics
inferredcites →https://doi.org/10.1016/j.agsy.2014.09.010openalex-extracted
Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia
inferredcites →https://doi.org/10.1016/j.agsy.2014.12.002openalex-extracted
An analysis of the socio-economic factors influencing the adoption of conservation agriculture as a climate change mitigation activity in Australian dryland grain production
inferredcites →https://doi.org/10.1016/j.agsy.2021.103074openalex-extracted
Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction
inferredcites →https://doi.org/10.1016/j.ecolmodel.2005.03.026openalex-extracted
Maximum entropy modeling of species geographic distributions
inferredcites →https://doi.org/10.1016/j.ecolmodel.2006.05.017openalex-extracted
Evaluating the ability of habitat suitability models to predict species presences
inferredcites →https://doi.org/10.1016/j.econmod.2024.106784openalex-extracted
Agricultural mechanization and rural worker mobility: Evidence from the Agricultural Machinery Purchase Subsidies programme in China
inferredcites →https://doi.org/10.1016/j.foodpol.2014.02.006openalex-extracted
How does population density influence agricultural intensification and productivity? Evidence from Malawi
inferredcites →https://doi.org/10.1016/s1574-0072(06)03054-4openalex-extracted
Chapter 54 Agricultural Mechanization: Adoption Patterns and Economic Impact
inferredcites →https://doi.org/10.1038/nature25181openalex-extracted
A global map of travel time to cities to assess inequalities in accessibility in 2015
inferredcites →https://doi.org/10.1038/s41597-020-0479-6openalex-extracted
Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers
inferredcites →https://doi.org/10.1038/s43016-021-00429-zopenalex-extracted
Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century
inferredcites →https://doi.org/10.1038/s43016-023-00913-8openalex-extracted
Global spatially explicit yield gap time trends reveal regions at risk of future crop yield stagnation
inferredcites →https://doi.org/10.1038/s43016-024-00945-8openalex-extracted
Agri-environmental policies from 1960 to 2022
inferredcites →https://doi.org/10.1038/s43247-023-01062-3openalex-extracted
Nearly half of the world is suitable for diversified farming for sustainable intensification
inferredcites →https://doi.org/10.1038/sdata.2018.4openalex-extracted
Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015
inferredcites →https://doi.org/10.1073/pnas.2001403117openalex-extracted
Land use and climate change impacts on global soil erosion by water (2015-2070)
inferredcites →https://doi.org/10.1073/pnas.2312519121openalex-extracted
Crop yields fail to rise in smallholder farming systems in sub-Saharan Africa
inferredcites →https://doi.org/10.1088/1748-9326/aabd42openalex-extracted
Global patterns of current and future road infrastructure
inferredcites →https://doi.org/10.1093/qje/qjaa048openalex-extracted
Competition and Relational Contracts in the Rwanda Coffee Chain
inferredcites →https://doi.org/10.1111/2041-210x.13628openalex-extracted
ENMeval 2.0: Redesigned for customizable and reproducible modeling of species’ niches and distributions
inferredcites →https://doi.org/10.1111/agec.12737openalex-extracted
Adoption patterns and productivity impacts of agricultural mechanization services
inferredcites →https://doi.org/10.1111/ajae.12273openalex-extracted
Farm labor productivity and the impact of mechanization
inferredcites →https://doi.org/10.1111/gcb.14054openalex-extracted
Digging deeper: A holistic perspective of factors affecting soil organic carbon sequestration in agroecosystems
inferredcites →https://doi.org/10.1111/gcb.14492openalex-extracted
Estimating the global distribution of field size using crowdsourcing
inferredcites →https://doi.org/10.1111/gcb.15830openalex-extracted
A ‘debt’ based approach to land degradation as an indicator of global change
inferredcites →https://doi.org/10.1111/geb.13639openalex-extracted
Flexible species distribution modelling methods perform well on spatially separated testing data
inferredcites →https://doi.org/10.1111/j.1472-4642.2010.00725.xopenalex-extracted
A statistical explanation of MaxEnt for ecologists
inferredcites →https://doi.org/10.1111/j.1600-0587.2013.00321.xopenalex-extracted
Inference from presence‐only data; the ongoing controversy
inferredcites →https://doi.org/10.1111/j.1600-0587.2013.07872.xopenalex-extracted
A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter
inferredcites →https://doi.org/10.1111/jbi.12227openalex-extracted
Making better M axent models of species distributions: complexity, overfitting and evaluation
inferredcites →https://doi.org/10.1146/annurev.economics.102308.124433openalex-extracted
Microeconomics of Technology Adoption
inferredcites →https://doi.org/10.1186/s40066-018-0176-2openalex-extracted
Agricultural mechanization, a key to food security in developing countries: strategy formulating for Iran
inferredcites →https://doi.org/10.1257/jep.36.1.33openalex-extracted
Agricultural Technology in Africa
inferredcites →https://doi.org/10.3389/fenvs.2023.1344903openalex-extracted
Does agricultural mechanization improve agricultural environmental efficiency?
inferredcites →https://doi.org/10.4236/as.2012.35078openalex-extracted
Cassava sector development in Cameroon: Production and marketing factors affecting price
inferredcites →https://doi.org/10.5194/essd-12-3545-2020openalex-extracted
A cultivated planet in 2010 – Part 2: The global gridded agricultural-production maps
inferredcites →https://doi.org/10.5194/hess-9-535-2005openalex-extracted
Development and validation of the global map of irrigation areas
inferredcites →https://doi.org/10.5194/soil-7-217-2021openalex-extracted
SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty
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inferred← citeshttps://doi.org/10.1111/agec.70006openalex-snapshot
Satellite Data in Agricultural and Environmental Economics: Theory and Practice
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