Recordings + study material, certificate after completion, 1-year access. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
This three-day workshop introduces participants to GIS, remote sensing, artificial intelligence and machine learning for agricultural monitoring and water resource management. It covers satellite imagery analysis, vegetation indices, soil moisture assessment, irrigation demand prediction and sustainable water-use strategies. Participants will gain practical experience using accessible tools such as QGIS, Google Earth Engine, Python and Google Colab to analyse geospatial datasets and develop data-driven solutions for smart irrigation and sustainable agriculture.
To equip participants with practical knowledge and research skills in AI-driven geospatial analysis for precision agriculture, irrigation optimisation, water resource assessment and environmental sustainability.
Topics covered
Fundamentals of GIS, remote sensing and precision agriculture.
Satellite imagery and spatial datasets for agricultural monitoring.
Mapping agricultural fields, watersheds and irrigation zones.
Vegetation indices (NDVI, EVI) for crop health assessment.
Soil moisture, rainfall and land-use data analysis.
Geospatial data preprocessing, coordinate systems and map layers.
Spatial visualisation and interpretation of agricultural research data.
Hands-on 1: Agricultural Land Mapping and Vegetation Analysis Using Satellite Data.
Tools: QGIS, Google Earth Engine, Google Earth Pro.
Topics covered
Fundamentals of AI and machine learning in precision agriculture.
Collection and preprocessing of soil moisture, rainfall and weather datasets.
Feature selection for irrigation demand prediction.
Regression models for soil moisture and crop water requirement estimation.
Classification techniques for crop water stress assessment.
Model training, testing and evaluation using performance metrics.
Data-driven irrigation scheduling and prediction visualisation.
Hands-on 2: Develop a Machine Learning Model for Soil Moisture Prediction and Irrigation Demand Estimation.
Tools: Python, Google Colab, Pandas, NumPy, Scikit-learn, Matplotlib.
Topics covered
GIS-based water resource assessment and watershed mapping.
Rainfall, runoff and agricultural water availability analysis.
Irrigation scheduling using weather and soil moisture data.
AI-supported water-use optimisation and conservation strategies.
Rainwater harvesting and groundwater sustainability assessment.
Integration of satellite imagery, GIS layers and machine learning outputs.
Research result visualisation, sustainability indicators and decision-support systems.
Hands-on 3: Develop a Geospatial Irrigation Decision-Support Workflow Using Water and Weather Data.
Tools: QGIS, Google Earth Engine, Python, Google Colab, Pandas, Matplotlib.
Prerequisites: Basic computer literacy is recommended. Prior programming or GIS experience is helpful but not mandatory. Participants should have access to a computer and a stable internet connection for the practical sessions.
October 27, 2026
IST 4:30PM
October 27, 2026 – October 29, 2026
IST 5:00 PM
₹2,499
$50
The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
