1st lesson belanja
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Mayank
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1st lesson belanja
- 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’m an M.Sc. scholar in Agricultural Meteorology at CCS HAU, Hisar — Asia’s largest agricultural university. My academic journey blends core agronomic principles, climate science, and modern data tools like Python, remote sensing, and machine learning to solve real-world agricultural problems. Over the past few years, I’ve worked on field-based experiments, developed crop models, and analyzed decades of weather data to understand how climate influences crop growth and yield. I’ve also built Python scripts for analyzing GDD, NDVI, and yield prediction models. My goal is to make agricultural learning easy, logical, and applied — whether you’re a beginner in agri-science or a research student tackling data-heavy projects.
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About the lesson
- Primary
- Secondary
- SPM
- +8
levels :
Primary
Secondary
SPM
Form 6
STPM
Adult education
Bachelor
Masters
Diploma
Doctorate
Other
- English
All languages in which the lesson is available :
English
Bridge the gap between field and data! These classes are designed for students and professionals who wish to strengthen their foundation in Agronomy, Agricultural Sciences, Agrometeorology, and Python-based modeling. Whether you're preparing for exams, working on a thesis, or just passionate about modern agriculture — I’ll help you build strong conceptual clarity and data-handling skills with a research-based approach. What You’ll Learn: Agronomy & Agricultural Sciences: Crop growth stages, yield components, and management practices Soil-water-plant relationships, nutrient management basics Agronomic principles behind sowing time, variety selection, irrigation, etc. Real-world examples from wheat, mustard, rice, and more Agrometeorology & Climate Science: Weather parameters and their role in crop development GDD, HUE, and other agromet indices Statistical trend analysis (Mann-Kendall, Sen’s slope, regression) Python Programming for Agriculture: Python basics to advanced with real agricultural datasets Data analysis using Pandas, NumPy, Matplotlib, Sklearn Machine learning models: LASSO, SVR, Random Forest for yield prediction Remote sensing data (NDVI, LAI) integration with Python Climate-crop modeling from scratch
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Rates
Rate
- RM24
Pack rates
- 5h: RM120
- 10h: RM240
online
- RM24/h
free lessons
This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.
- 1hr
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