Ecoinformatics can reveal yield gaps associated with crop-pest interactions: a proof-of-concept
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Assessing Weather-Yield Relationships in Rice at Local Scale Using Data Mining ApproachesFitness trade-offs in pest management and intercropping with colour: an evolutionary framework and potential application.Ecoinformatics reveals effects of crop rotational histories on cotton yield.Explicit modeling of abiotic and landscape factors reveals precipitation and forests associated with aphid abundance.Landscape crop composition effects on cotton yield, Lygus hesperus densities and pesticide use.An Observatory Plot System for Grain Production in the Neotropical Savannas
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Ecoinformatics can reveal yield gaps associated with crop-pest interactions: a proof-of-concept
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2013 nî lūn-bûn
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2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի նոյեմբերին հրատարակված գիտական հոդված
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2013年の論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年论文
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Ecoinformatics can reveal yiel ...... teractions: a proof-of-concept
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Ecoinformatics can reveal yiel ...... teractions: a proof-of-concept
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Ecoinformatics can reveal yiel ...... teractions: a proof-of-concept
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Ecoinformatics can reveal yiel ...... teractions: a proof-of-concept
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Ecoinformatics can reveal yiel ...... teractions: a proof-of-concept
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Ecoinformatics can reveal yiel ...... teractions: a proof-of-concept
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P2860
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P1476
Ecoinformatics can reveal yiel ...... teractions: a proof-of-concept
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P2093
Jay A Rosenheim
Matthew H Meisner
P2860
P304
P356
10.1371/JOURNAL.PONE.0080518
P407
P577
2013-11-15T00:00:00Z