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2024
Zhang, Jian, et al. “Map-Sensor-Based Site-Specific Manure Application in Wheat.”
COMPUTERS AND ELECTRONICS IN AGRICULTURE
, vol. 219, 2024, doi:10.1016/j.compag.2024.108764.
Bantchina, Bere Benjamin, et al. “Spatiotemporal Modeling of Soil Water Dynamics for Site-Specific Variable Rate Irrigation in Maize.”
SOIL SYSTEMS
, vol. 8, no. 1, 2024, doi:10.3390/soilsystems8010019.
Dolaptsis, Konstantinos, et al. “A Hybrid LSTM Approach for Irrigation Scheduling in Maize Crop.”
AGRICULTURE-BASEL
, vol. 14, no. 2, 2024, doi:10.3390/agriculture14020210.
Owusu-Sekyere, Enoch, et al. “Farmers’ Willingness to Adopt Precision Agricultural Technologies to Reduce Mycotoxin Contamination in Grain : Evidence from Grain Farmers in Spain and Lithuania.”
PRECISION AGRICULTURE
, vol. 25, no. 5, 2024, pp. 2292–320, doi:10.1007/s11119-024-10167-4.
Zhang, Zheyue, et al. “On the Parsimony, Interpretability and Predictive Capability of a Physically−based Model in the Optical Domain for Estimating Soil Moisture Content.”
GEODERMA
, vol. 449, 2024, doi:10.1016/j.geoderma.2024.116996.
Zhang, Jian, et al. “Phosphorus-Based Variable Rate Manure Application in Wheat and Barley.”
PRECISION AGRICULTURE
, vol. 25, no. 3, 2024, pp. 1714–30, doi:10.1007/s11119-024-10131-2.
Bantchina, Bere Benjamin, et al. “Corn Yield Prediction in Site-Specific Management Zones Using Proximal Soil Sensing, Remote Sensing, and Machine Learning Approach.”
COMPUTERS AND ELECTRONICS IN AGRICULTURE
, vol. 225, 2024, doi:10.1016/j.compag.2024.109329.
Almoujahed, Mhd Baraa, et al. “Non-Destructive Detection of Fusarium Head Blight in Wheat Kernels and Flour Using Visible near-Infrared and Mid-Infrared Spectroscopy.”
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
, vol. 245, 2024, doi:10.1016/j.chemolab.2023.105050.
Oladipupo, Rukayat, et al. “A Novel On-Line Dual Sensing System for Soil Property Measurement and Mapping.”
SMART AGRICULTURAL TECHNOLOGY
, vol. 9, 2024, doi:10.1016/j.atech.2024.100640.
Qaswar, Muhammad, et al. “Economic and Environmental Assessment of Variable Rate Nitrogen Application in Potato by Fusion of Online Visible and near Infrared (Vis-NIR) and Remote Sensing Data.”
SOIL SYSTEMS
, vol. 8, no. 2, 2024, doi:10.3390/soilsystems8020066.
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