Global Certificate in Plant Nutrition & Resource Management
-- ViewingNowThe Global Certificate in Plant Nutrition & Resource Management is a comprehensive course designed to equip learners with essential skills in crop nutrition and resource management. This course is crucial in the current industrial context, where there is a growing demand for professionals who can ensure sustainable agricultural practices and food security.
7,990+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
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โข Introduction to Plant Nutrition: Understanding the basics of plant nutrition, including the essential nutrients, their functions, and deficiency symptoms.
โข Soil Analysis and Fertility Management: Techniques for soil analysis, interpreting results, and managing soil fertility through liming, organic matter addition, and fertilizer management.
โข Fertilizer Types and Application Methods: An overview of different types of fertilizers (organic, inorganic, slow-release) and application methods (broadcast, band, foliar).
โข Water Management and Irrigation: Best practices for water management in crop production, including irrigation scheduling and efficient irrigation methods.
โข Nutrient Cycling and Soil Health: Understanding the processes of nutrient cycling and their impact on soil health, including the role of soil microorganisms and cover crops.
โข Integrated Plant Nutrient Management: A holistic approach to managing plant nutrients, including the use of multiple nutrient sources, crop rotation, and conservation practices.
โข Remote Sensing and Precision Agriculture: The use of remote sensing technology and precision agriculture techniques to optimize plant nutrition and resource management.
โข Climate Change and Plant Nutrition: The impact of climate change on plant nutrition and resource management, including the potential for adaptation and mitigation strategies.
โข Monitoring and Evaluation of Plant Nutrition Programs: Techniques for monitoring and evaluating plant nutrition programs, including the use of indicators and data analysis.
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