agriculture6 papersavg year 2017weak evidence

Prior research for in-season, pre-harvest crop yield

Research gap analysis derived from 6 agriculture papers in our local library.

The gap

Prior research for in-season, pre-harvest crop yield forecasting has primarily been case-study based, making it difficult to compare modeling approaches and measure progress systematically.

Evidence profile

Sourced from the stated research gap and inline gaps and abstract of the source papers, classified as general, drawn from work published between 1978 and 2026, spanning 6 journals. Those papers have been cited 48 times in total.

Research trend

Established — well-defined area with open sub-problems.

Supporting evidence — 6 representative gaps

  • Innovation in pest management: can the past inform the future? (2026) · Pest Management Science · doi

    The paper identifies a gap in the current understanding of crop yield growth, specifically the decline in productivity growth in recent years. The paper also identifies a gap in the current methods used to forecast yields, which may not account for changes in trends over time.

    generalstated research gap
    Keywords: paper identifies gap current understanding crop yield growth
  • Impact of heat stress during late grain filling on head rice yield in rice: prioritizing milling yield traits using a bioeconomic quantitative genetic model (2026) · Cereal Research Communications · doi

    Revista Brasileira De Engenharia Agrícola E Ambiental 26 (5) Ray DK, Mueller ND, West PC, Foley JA (2013) Yield trends are insufficient to double global crop production by 2050.

    generalinline gapsevidence 5/5
    Keywords: revista brasileira engenharia cola ambiental mueller west foley yield trends insufficient double global crop production
  • CY-Bench: a comprehensive benchmark dataset for sub-national crop yield forecasting (2026) · Earth System Science Data · doi

    Prior research for in-season, pre-harvest crop yield forecasting has primarily been case-study based, making it difficult to compare modeling approaches and measure progress systematically.

    generalstated research gapevidence 5/5
    Keywords: prior research in-season pre-harvest crop yield forecasting has
  • A Soil-Aware Hybrid AI Model for Precision Crop Recommendation and Yield Forecasting (2026) · Engineering, Technology & Applied Science Research · doi

    Existing research addresses either crop recommendation or yield prediction, but not both. There is a need for modern decision support systems to provide estimated Crop Yield (CY) and ensure that output meets market requirements.

    generalstated research gapevidence 5/5
    Keywords: existing research addresses either crop recommendation yield prediction
  • Revenue Administration and Agricultural Statistics in Bombay Presidency (1978) · The Indian Economic & Social History Review · cited 1× · doi

    The paper identifies the gap in prior research as the lack of comparison between revenue yields and crop-cutting yields. The study highlights the need for a comprehensive analysis of the relationship between condition factors and rainfall.

    generalstated research gapevidence 5/5
    Keywords: paper identifies gap prior research lack comparison between
  • How accurate are yield estimates from crop cuts? Evidence from smallholder maize farms in Ethiopia (2021) · Food Policy · cited 47× · doi

    However, in practice, crop cuts and other sample-based protocols vary widely in the details of their implementations and little empirical work has documented how alternative yield estimation methods perform.

    generalabstractevidence 4/5
    Keywords: practice crop cuts sample based protocols vary widely details implementations little empirical documented alternative yield

Questions about this gap

Prior research for in-season, pre-harvest crop yield forecasting has primarily been case-study based, making it difficult to compare modeling approaches and measure progress system… This is supported by 6 representative gap statements extracted from 6 papers, rated weak evidence.

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