Collection

Datasets to Advance Agriculture

Submission status
Closed
Current projections by the UN predict that food production needs to increase by 70% in the next 25 years to feed the world population. As nations grapple with an increasingly variable climate and growing restrictions on energy use, agriculture faces the combined challenge of maximising productivity while remaining sustainable. Solutions lie in the wealth of data produced by the fields of Plant Omics and Precision Agriculture. When applied such research can increase the hardiness and yield of a crop plant and apply these gains at scale. This collection seeks to bring these disciplines together, curating a series of data sets and articles focused on improving the productivity and sustainably of agriculture methods across the globe. This collection welcomes Data Note* Articles covering: • Tree and crop plant Omics: phenomics, ionomics, genomics, transcriptomics, proteomics, lipidomics, metabolomics and panomics • Natural resource variables: soil and landscape variability, soil mapping, geostatistics, geographic information systems, microclimate, weather forecasting, remote sensing, management units, and digital elevation models • Environmental data: Crop protection chemicals, sediments, leaching, runoff, practices, field, watershed, artificial drainage, ground and surface water • Management data: Sampling techniques, site-specific nutrient and crop protection chemical recommendation, crop quality, tillage, seed density, seed variety, yield mapping, remote sensing • Economic data: Best management practices, crop quality, technology cost, sustainability, social impacts, marketing, cooperatives, farm scale and crop type • Commentary articles discussing Methods of synthesising and applying these data across agriculture. *Research Note articles will also be considered if submitted with an accompanying Data Note

Articles (13 in this collection)