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| Filter results5 paper(s) found. |
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1. The Global Crop Nutrient Removal Database (Gcnrd): Development, Initial Analysis and Identification of Current Data GapsImproved understanding of the factors affecting nutrient uptake can enable production optimization, increased nutrient use efficiencies, reduced environmental footprints, and overall higher economic returns for farmers. Crop uptake is affected by genetics, soil, weather, agronomic practices, and their interactions. As such, understanding the way crop nutrient uptake varies across different regions and production environments requires the coverage of various parameters, and necessitates collaboration... C. Ludemann, A. Dobermann, N. Graff, S. Sela, M. Van loon, R. Hijbeek, M. Van ittersum |
2. Utilizing Guards (Growing Universal Agronomic Research Data Standard) and the Fair Principles for Data Standardization and Agronomic InsightsThe quantity and scope of agronomic data available for researchers in both industry and academia is increasing rapidly. Data sources include a myriad of different streams, such as field experiments, sensors, climatic data, socioeconomic data or remote sensing. The lack of standards and workflows frequently leads agronomic data to be fragmented and siloed, hampering collaboration efforts within research labs, university departments, or research institutes. Researchers and businesses therefore allocate... S. Sela |
3. Harnessing Soil Health to Create More Restorative and Resilient Food Systems in the Central Highlands Eco-Region FoodscapeThe relationships among soil health and adoption of regenerative practices, crop productivity, human nutrition and farm profitability are intricate and poorly understood, particularly in the Central Highlands of Kenya. There is a need for a deeper understanding of how soil health is affected by the profitability of preferred value chains among smallholders in this ecoregion. The Central Highlands Ecoregion Foodscape, or the CHEF, which is within the Upper Tana River Basin is centered around food... R. Sitienei |
4. Decentralized Research: an Opportunity to Accelerate the Transition Towards Sustainable Food ProductionThe large majority of farmers experiment on their farms to invent and/or adopt new crop production techniques and technologies. This endogenous experimentation process is slow because it often resembles trial and error and relies on minimal data (e.g., comparing total yield between two fields) to draw conclusions. Digital agronomy can help enhance the scientific value of these experiments and thus enable systematic progress toward working solutions. This presentation will discuss the use... L. Longchamps |
5. Detecting the Impact of Hail Damage on Maize Crops in Smallholder Farms Using Unmanned Aerial Vehicles Derived Multispectral DataNatural disasters such as hailstorms are now frequent and negatively impact smallholder farmers' livelihoods. In these events, there is a need for robust and innovative techniques for monitoring the extent of their damage in smallholder croplands to optimise production. In this regard, this study sought to evaluate the utility of drone-derived multispectral data in estimating crop health elements (i.e., equivalent water thickness (EWT), chlorophyll content, and leaf area index (LAI) of maize... M. Sibanda |