1st class free
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Mayank
- Rate ₹500
- Response 1h
-
Students1
Number of students accompanied by Mayank since their arrival at Superprof
Number of students accompanied by Mayank since their arrival at Superprof
₹500/hr
Contact
1st class free
- Agricultural Sciences
- Agronomy
Learn Climate, Crops & Sustainability from an M.Sc. Scholar at Asia’s Largest Agri University – CCS HAU
- Agricultural Sciences
- Agronomy
Class location
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At Mayank 's house : Hisar
- Online
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at your home or a public place : will travel up to 10 km from Hisar
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About Mayank
I am an M.Sc. in Agricultural Meteorology from CCS Haryana Agricultural University, Hisar — Asia's largest agricultural university — and a UGC-NTA NET 2025 qualified researcher in Environmental Sciences, placing in the top 5% of graduate applicants nationally.
My academic journey blends core agronomic principles, climate science, and modern data tools to solve real-world agricultural problems. During my research I conducted field-based spectroradiometer experiments measuring crop canopy reflectance, analysed 45 years of weather data (1980–2025) to understand how long-term climate shifts influence crop growth and yield, and built Python pipelines for computing GDD, NDVI, NDWI, and yield prediction models using Random Forest and SVM machine learning algorithms. This work has resulted in 5 peer-reviewed publications and 3 manuscripts currently in preparation — including papers on AI-based yield estimation, climate change adaptation, and remote sensing applications in agriculture.
What I can help you with:
Agricultural Meteorology and Agrometeorology concepts
Remote sensing and vegetation indices (NDVI, NDWI, TVI, WBI)
Python for agriculture — data analysis, GDD calculation, yield modelling
Machine learning in crop science (Random Forest, SVM, Decision Tree)
Climate data analysis and long-term trend interpretation
Research methodology, thesis writing and publication guidance
Crop physiology, field experiment design and data collection
Whether you are a beginner stepping into agri-science or a postgraduate student tackling a data-heavy research project, I break down complex concepts into logical, applied steps that make sense from the field up. I have trained farmers, mentored junior students during field campaigns, and presented at national seminars — so I know how to explain the same idea at multiple levels of depth.
My goal: make agricultural science easy, logical, and directly connected to real problems — because the best learning happens when theory meets the field.
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About the class
- All Levels
- English
- Hindi
All languages in which the class is available :
English
Hindi
Agriculture is not just about growing crops — it is about understanding why crops grow the way they do, what the soil, climate, and environment demand, and how modern science and data tools are changing the way we farm and research. This class is designed to give you exactly that understanding, whether you are a student just starting your agri-science journey or a postgraduate researcher working through a tough thesis project.
Taught by an M.Sc. in Agricultural Meteorology from CCS HAU, Hisar — Asia's largest agricultural university — and a UGC-NTA NET 2025 qualified researcher with 5 peer-reviewed publications, this class brings real field experience, decades of climate data analysis, and hands-on research methodology into every session.
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Rates
Rate
- ₹500
Pack prices
- 5h: ₹2,200
- 10h: ₹4,000
free classes
This first free class with Mayank will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.
- 30mins
online
- ₹500/hr
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