Smart Agriculture Technologies for Nitrogen Use Efficiency and Soil Salinity Monitoring
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https://doi.org/10.5281/zenodo.15381280Keywords:
Precision agriculture, nitrogen and saline soil management, artificial intelligence, machine learning, digital farming, remote sensingAbstract
The agricultural sector must develop sustainable solutions to address global challenges such as population growth, climate change, and the scarcity of natural resources. In this context, digital farming technologies play a crucial role in critical areas such as nitrogen use efficiency and soil salinity monitoring and management. This study examines the potential of smart farming applications in these areas and investigates how technologies such as the Internet of Things (IoT), wireless sensor networks (WSN), remote sensing (RS), unmanned aerial vehicles (UAVs), big data analytics, machine learning (ML), deep learning (DL), and artificial intelligence (AI) can enhance agricultural productivity and sustainability. Although nitrogen is an essential nutrient for plant growth, its excessive and improper use leads to environmental pollution and resource waste. Digital farming technologies can monitor nitrogen levels in the soil in real-time, detect plant stress, and provide optimized fertilization strategies to improve nitrogen use efficiency. Similarly, soil salinity is a significant constraint on agricultural production. Technologies such as remote sensing and wireless sensor networks offer effective tools for mapping and monitoring soil salinity, contributing to the development of salinity management and remediation strategies. In conclusion, digital farming technologies have the potential to shape the future of agriculture in areas such as nitrogen use efficiency and soil salinity management, paving the way for the widespread adoption of sustainable farming practices. The adoption of these technologies can optimize resource use, reduce environmental impacts, and enhance agricultural productivity and food security.
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