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Course Content
Course start date: 9/12/24
Category: Artificial Intelligence
Topic outline
Module 1
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Unit 1: Fundamentals of digital agriculture
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Unit 2: Benefits and challenges of digital agriculture
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Unit 3: Digital agriculture - Global perspective
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Module 2
Unit 4: Knowledge management and digital learning modules
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Unit 5-Introduction to software tools for agricultural applications
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Unit 6: Use of Rice Crop Manager to enhance farm productivity
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Unit 7: Introduction to 'R'
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Module 3
Unit 8: Introduction to Data Science
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Unit 9: Data collection-Platforms and sources
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Unit 10: Data management and data integration
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Unit 11: Remote sensing, GIS and applications
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Unit 12: Remote Sensing and GIS applications in agriculture
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Unit 13: Remote Sensing and GIS applications in water management
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Unit 14: Demystifying Artificial Intelligence
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Unit 15: Demonstration on SWAT hydrological modelling using QGIS software
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Mudule 4
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https://learningbeta.indevconsultancy.in/learning-network/pluginfile.php/1103/mod_label/intro/Unit-16.mp3?time=1734607836300
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https://learningbeta.indevconsultancy.in/learning-network/pluginfile.php/1104/mod_label/intro/Unit-17.mp3?time=1734608419752
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https://learningbeta.indevconsultancy.in/learning-network/pluginfile.php/1105/mod_label/intro/Unit-18.mp3
Unit 19: Precision irrigation practices for rice
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Unit 20: Variable Rate Irrigation practices
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Unit 21: Use of drone-based technology for crop monitoring
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Module 5
Unit 22: Overview of available crop models
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Unit 23: Werise overview
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Module 6
Unit 24: Digital inclusion
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Unit 25: Market and career opportunities in digital agriculture
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Unit 26: Digital advisories
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Module 7
Unit 27: Digital agriculture for sustainability
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Unit 28: Public-private partnerships
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Unit 29: Modernization of crop improvement
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Unit 30: Dissemination of digital tools
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Unit 31: Digital Public Goods
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Assessment
Final assessment
Quiz
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Certificate