Coupling proximal sensing, seasonal forecasts and crop modelling to optimize nitrogen variable rate application in durum wheat

• Published in: Precision agriculture Vol. 22; no. 1; pp. 75 - 98
• Main Authors: Morari, F., Zanella, V., Gobbo, S., Bindi, M., Sartori, L., Pasqui, M., Mosca, G., Ferrise, R.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2021; Springer Nature B.V
• Subjects: Agricultural production; Agriculture; Atmospheric Sciences; Biomedical and Life Sciences; Chemistry and Earth Sciences; Computer Science; Crops; Economic impact; Fertilization; Life Sciences; Management systems; Meteorological data; Nitrogen; Nutrient requirements; Nutrient sources; Nutrient status; Optimization; Organic matter; Physics; Remote Sensing/Photogrammetry; Soil properties; Soil Science & Conservation; Soils; Statistics for Engineering; Triticum durum; Variability; Weather forecasting; Wheat; Variable rate; Durum wheat; Fertilization; Nitrogen; Proximal Sensing

Nitrogen (N) fertilization in durum wheat has traditionally been managed based on yield goals without considering temporal and spatial variability of yield potential related to changes in soil properties, weather and crop response to fertilization. In fact, this approach may lead to inefficient N us...