● Collecting historical data of weather parameters from the IMD-stations
● Installation of EAgriSTM and PGrowiSTM at 2-3 different locations within institute.
● Soil-specific calibration of Soil Moisture sensors for irrigation and soil pH and EC
sensors.
● Water management based on soil moisture, pan evaporation and crop growth stages.
Monitoring the changes in soil pH and EC utilizing the calibrated sensors developed.
● Understanding effect of variation in the microclimate within the canopy of
grapevines on diseases and physiological disorder.
● Generation of data by collecting real-time data of soil, weather, and crop
parameters from IoT-based EAgriSTM and PGrowiSTM
● Upgradation of EAgriSTM web portal for gathering the data at the cloud server for
further usage for AI/ML algorithm development
● AI/ML models for irrigation scheduling based on real-field soil moisture sensor data
● Preliminary development of AI/ML models for assessing quality and disease,
physiological disorder based on microclimate conditions.
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