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Google pilots project to validate its AI model for AnthroKrishi, ET Telecom

Google s AnthroKrishi AI model assists in sustainable farming by mapping field and water boundaries, monitoring crop growth. It aims to revolutionize agriculture practices in India and APAC regions by providing valuable farm data for financial and governmental decisions. ....

Andhra Pradesh , Manish Gupta , Department Of Land Records , Google Research , Land Records , Event Detection , Di Model , Oogle Research Apac ,

AnthroKrishi: Google pilots project to validate its AI model for AnthroKrishi

Google s AnthroKrishi AI model assists in sustainable farming by mapping field and water boundaries, monitoring crop growth. It aims to revolutionize agriculture practices in India and APAC regions by providing valuable farm data for financial and governmental decisions. ....

Andhra Pradesh , Uttar Pradesh , Manish Gupta , Google Research , Department Of Land Records , Indian School Of Business , Programme In Fintech , Offering College , Tech Prowess , High Value Skill , Applied Risk , Data Science For , Land Records , Event Detection ,

"Green IoT Event Detection for Carbon-Emission Monitoring in Sensor Net" by Cormac D. Fay, Brian Corcoran et al.

This research addresses the intersection of low-power microcontroller technology and binary classification of events in the context of carbon-emission reduction. The study introduces an innovative approach leveraging microcontrollers for real-time event detection in a homogeneous hardware/firmware manner and faced with limited resources. This showcases their efficiency in processing sensor data and reducing power consumption without the need for extensive training sets. Two case studies focusing on landfill CO (Formula presented.) emissions and home energy usage demonstrate the feasibility and effectiveness of this approach. The findings highlight significant power savings achieved by minimizing data transmission during non-event periods (94.8–99.8%), in addition to presenting a sustainable alternative to traditional resource-intensive AI/ML platforms that comparatively draw and produce 20,000 times the amount of power and carbon emissions, respectively. ....

Co Formula , Carbon Emissions , Chemical Sensing , Electricity Metering , Event Detection ,