Proceedings
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| Filter results6 paper(s) found. |
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1. Grassland System Impacts on Spatial Variability of Soil Phosphorus in Eastern CanadaPhosphorus (P) is an essential nutrient for plants, including grasslands. However, continuous applications of P fertilizer result in P accumulations in the soil, increasing the risk of P losses through runoff and erosion. Since 2008, more than 31 million tonnes of organic fertilizers, representing more than 95,000 tonnes of P2O5, were applied to agricultural fields in Eastern Canada. Thus, grassland systems were fertilized intensively using organic fertilizers with high P... J.D. Nze Memiaghe, A. Cambouris |
2. Assessment of Soil Spatial Properties and Variability Using a Portable VIS-NIRS Soil Probe for On-farm Precision ExperimentationAssessing the spatial variability of soil properties represents an important issue for on-farm sustainable management owing to high cost of sampling densities. Actual methods of soil properties measurement are based on conventional soil sampling of one sample per ha, followed by laboratory analysis, requiring many soil extraction processes and harmful chemicals. This conventional laboratory analysis does not allow exploring spatial variation of soil properties at desired fine spatial scale. Thus,... A. Cambouris, M. Duchemin, E. Lord, N. Ziadi, B. Javed, J.D. Nze Memiaghe, D.A. Ramirez-gonzalez |
3. Simultaneously Estimating Crop Biomass and Nutrient Parameters Using UAS Remote Sensing and Multitask LearningRapid and accurate estimation of crop growth status and nutrient levels such as aboveground biomass, nitrogen, phosphorus, and potassium concentrations and uptake is critical with respect to precision agriculture and field-based crop monitoring. Recent developments in Uncrewed Aircraft Systems (UAS) and sensor technologies have enabled the collection of high spatial, spectral, and temporal remote sensing data over large areas at a lower cost. Coupled deep learning-based modeling approaches with... P. Kovacs, M. Maimaitijiang, B. Millett, L. Dorissant, I. Acharya, U.U. Janjua, K. Dilmurat |
4. Decision Making Factors of Precision Agricultural Practices in South DakotaA survey among South Dakota Farmers was conducted to document current nutrient management practices. The survey included questions regarding adoption and use of precision ag technologies in addition to information considered to create prescription maps for variable fertilizer and seeding rates. The survey collected demographic information from the producers. The presentation will also highlight how farm size, farm location, farmer/decision maker’s age and/or education level influences... P. Kovacs, J. Clark, J. Schad, E. Avemegah |
5. Crop Production and Nutrient Management with Strip-tillage in the Northern Great PlainsConventional tillage is still the dominant tillage practice in the eastern third of South Dakota (USA). Producers are often facing wind and water soil erosion in this part of the state. Strip-tillage can offer an alternative production option that could lower erosion potential between cash crops, while maintaining the yield potential. In addition strip-tillage allows a same-pass nutrient placement. The research objectives are to compare tillage and fertilizer placement methods in a corn (Zea... P. Kovacs, C. Tesch, N. Passone |
6. Using VIS-NIR spectroscopy to predict Water-Extractable Soil Phosphorus content in Texas VertisolsPhosphorus (P) is an essential nutrient for plant growth. However, excessive P application can result in P accumulation in agricultural soils, increasing the risk of P losses to water sources. Water-extractable P (Pw) data are essential for assessing the risk of environmental P losses. Investigating field-scale variability of Pw using visible–near infrared spectroscopy (VIS–NIR) remains limited. This study aimed to develop an empirical relationship between Pw, soil chemical... |