Mayank - Agricultural sciences tutor - Hisar
1st lesson free
Mayank - Agricultural sciences tutor - Hisar

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Mayank

  • Rate $5
  • Response 1h
  • Students

    Number of students Mayank has taught since their arrival at Superprof

    1

    Number of students Mayank has taught since their arrival at Superprof

Mayank - Agricultural sciences tutor - Hisar

$5/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Agricultural Sciences
  • Agronomy

Learn Climate, Crops & Sustainability from an M.Sc. Scholar at Asia’s Largest Agri University – CCS HAU

  • Agricultural Sciences
  • Agronomy

Lesson location

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 lesson

  • All Levels
  • English

All languages in which the lesson is available :

English

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

  • $5

Pack rates

  • 5h: $23
  • 10h: $42

free lessons

This first lesson offered with Mayank will allow you to get to know each other and clearly specify your needs for your next lessons.

  • 30mins

online

  • $5/h

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