Agricultural Greenhouse Gas Emissions

Discovering Agricultural Solutions that Reduce Greenhouse Gas Emissions.

Welcome to the "Agricultural Greenhouse Gas Emissions" Collaborative Space! This dedicated forum brings together agricultural professionals, environmentalists, technologists, and researchers to explore the evolving landscape of greenhouse gas measurement and monitoring. Our aim is to foster meaningful discussions, share cutting-edge knowledge, and develop innovative solutions to improve spatio-temporal resolution of greenhouse gas measurements, reduce carbon footprints, and support sustainable agricultural practices. This goal can only be achieved if we join hands and exchange ideas on the current paradigm and shortcomings of greenhouse gas emissions accounting, intricacies of carbon sequestration, policy frameworks, and the role of digital monitoring, reporting, and verification (dMRV) in carbon farming. Let's collaboratively shape a greener, more sustainable future for agriculture.

Expectations from the collaborators: - Active Participation: Engage actively in discussions, share your insights, ask questions, and provide constructive feedback. - Knowledge Sharing: Contribute by sharing articles, research papers, case studies, and other valuable resources related to agricultural greenhouse gas emissions. - Collaboration: Be open to collaborating on projects, research, and initiatives that align with the goals of sustainable agriculture, greenhouse gas emission reduction, and the role of agriculture in addressing climate change. - Respectful Interaction: Maintain a respectful and professional tone in all interactions. This is a space for positive and constructive dialogue. - Innovation and Initiative: Be proactive in suggesting new topics, initiating discussions, and proposing solutions that can drive the field forward.

Incentives: - Knowledge Sharing: Gain access to the latest research, trends, and innovative approaches to greenhouse gas emission measurement and monitoring from agricultural landscapes. - Networking Opportunities: Connect with industry experts, like-minded professionals, and potential collaborators from around the world. - Professional Development: Enhance your understanding of agricultural solutions to greenhouse gas emissions, sustainable practices, and the potential role of dMRV technology to support low-emission agriculture. - Visibility: Showcase your projects, innovations, and expertise to a global audience, potentially leading to new opportunities and partnerships. - Exclusive Content: Access webinars, workshops, and resources exclusively available to members of this collaborative space.

Moderators

Pratibha Kiragi
Vijay Tandra Sistla

Collaboration Members (67)

Conversation

Post/Announcement

Pratibha Kiragi

March 11, 2025

Hello everyone!

The Organisation for Economic Co-operation and Development (OECD) has released a new report on measuring carbon footprints in agri-food systems. This report explores methodologies for assessing carbon footprints in agri-food systems, providing insights into emissions measurement, standardization challenges, and policy implications. This is a must read for anyone working on climate-smart agriculture and emissions reduction strategies!

Check it out here: Measuring Carbon Footprints of Agri-Food Products

Michael Wanjuzi Makongo

March 5, 2025

https://seethroughnews.org/africa-carbon-rush.

The analogy of the storm effectively conveys the dual potential of the carbon cash tsunami – bringing either benefits or destruction, depending on how it's managed. I'm excited to see how the article will continue to unfold and explore the complexities of this issue.

Esther Maina

November 25, 2024

Unlock the Power of Innovation on the ICTforAg Learning Network

Join us for a virtual info session on November 26th to explore how the ICTforAg Learning Network’s Innovation Showcase can amplify your innovation. Learn how to showcase your work, enhance your profile, and receive hands-on support with registering your innovation on the platform!

Session Options:

  • November 26, 6-7am PST | 8-9am CST | 3-4pm WAT | 5-6pm EAT | 7:30-8:30pm IST
  •  November 26, 6-7am PST | 8-9am CST | 3-4pm WAT | 5-6pm EAT | 7:30-8:30pm IST

What to Expect:

  • Platform walkthrough and feature highlights
  • Guidance on enhancing your profile and increasing visibility
  • Hands-on assistance with the registration process, if needed

 Space is limited! Register now to secure your spot at: https://us02web.zoom.us/meeting/register/tZYrf-qprjgvGtHgxAMrP-SVXyi326KsNEky#/Do not miss this opportunity to take the next step in sharing your work with the world.

Register now to secure your spot!

Poll

Sweta Donkada

July 8, 2025

How do you see the future of quantum sensor arrays in agriculture?

0

Voters

Game-changer for precision carbon tracking
0%
Promising, but too costly for now
0%
Useful only for large-scale farms or research
0%
Better suited for climate scientists than farmers
0%

Sweta Donkada

July 1, 2025

What is the most promising benefit of using algae-based biofilters on farms?

0

Voters

Efficient methane capture for climate-neutral farming
0%
Generation of biomass as a valuable byproduct
0%
Dual role as nutrient recyclers in closed-loop systems
0%
Low-tech, sustainable alternative to mechanical filters
0%

Sweta Donkada

June 24, 2025

How useful do you think AI-augmented cropping calendars with emission forecasts would be for farmers?

0

Voters

Extremely useful – game-changing for climate-smart farming
0%
Useful – adds helpful insights to traditional planning
0%
Somewhat useful – but may be too complex or costly
0%
Not useful – traditional methods work just fine
0%

Sweta Donkada

June 17, 2025

What’s the key to unlocking powerful GHG heatmaps on farms?

0

Voters

IoT sensors with accurate emission tracking
0%
GIS integration for spatial analysis
0%
User-friendly dashboards for farmers
0%
Real-time data from weather and soil systems
0%

Sweta Donkada

June 10, 2025

What’s most crucial for empowering farmers with agrivoltaics and emission dashboards?

0

Voters

Multilingual & visual dashboards
0%
Real-time solar + GHG data sync
0%
Offline functionality with periodic sync
0%
Custom carbon footprint goals & rewards
0%

Sweta Donkada

June 4, 2025

What is the most important feature to improve voice-activated farm logs for emission tracking?

0

Voters

AI models trained on regional agricultural dialects
0%
Robust offline voice-to-text processing
0%
Advanced NLP to convert speech into structured emission data
0%
Integration with Monitoring, Reporting, and Verification (MRV) systems
0%

Sweta Donkada

May 27, 2025

Which machine learning approach is most promising for reducing methane emissions in livestock?

0

Voters

Supervised learning on feed–emission datasets
0%
Genomics-based predictive breeding models
0%
Real-time monitoring of diet and environment
0%
Secure farm-level data aggregation with AI
0%

Sweta Donkada

May 20, 2025

Which technology do you think is most promising for detecting methane leaks in livestock manure storage and biogas units?

0

Voters

AI-powered computer vision models analyzing drone footage
0%
Thermal imaging combined with AI for real-time detection
0%
Hyperspectral imaging integrated with machine learning
0%
A hybrid approach using both thermal and hyperspectral imaging with AI
0%

Sweta Donkada

May 13, 2025

Which Digital Solution Has the Greatest Potential to Reduce Nitrous Oxide Emissions in Rice Farming?

0

Voters

AI-powered fertilizer advisory tools
0%
Real-time soil and crop health sensors
0%
Drones and satellite imaging for nutrient mapping
0%
IoT-based weather and irrigation management systems
0%
Region-specific digital platforms with local nitrogen guidelines
0%

Sweta Donkada

May 6, 2025

Which breakthrough is most needed to bring digital twins to small- and medium-scale farms?

0

Voters

Affordable, easy-to-deploy sensors and connectivity
0%
Locally calibrated models that reflect soils, climate, and crops
0%
Simple, farmer-friendly interfaces and decision tools
0%
Strong data privacy and fair benefit-sharing mechanisms
0%

Sweta Donkada

April 29, 2025

What are the primary challenges in deploying low-cost, solar-powered GHG sensors for global agriculture?

0

Voters

High upfront cost of the sensors and installation infrastructure.
0%
Difficulty in maintaining sensor functionality in remote or harsh environments.
0%
Lack of reliable and affordable data transmission networks in rural areas.
0%
Limited access to training and support for farmers in using and maintaining the sensors.
0%

Sweta Donkada

April 22, 2025

What’s the biggest climate benefit of precision nitrogen management using AI?

0

Voters

Dramatically reduced nitrous oxide emissions from over-fertilization
0%
Improved soil health through better nutrient balance over time
0%
Decreased fertilizer runoff into water bodies and ecosystems
0%
Supporting sustainable intensification with fewer inputs per acre
0%

Sweta Donkada

April 15, 2025

What’s the key to unlocking carbon value from waste-based soil practices?

0

Voters

Sensor innovation – Improve in-situ tracking of soil carbon and nutrients
0%
AI + satellite synergy – Combine data sources for real-time carbon insights
0%
Clearer verification – Strengthen pathways from farm to carbon credit
0%
Farmer adoption – Support tech use and trust at the ground level
0%

Sweta Donkada

April 8, 2025

What’s the key to making predictive crop models more impactful for climate-smart agriculture?

1

Voters

Better regional data – Improve model accuracy through local calibration
100%
Farmer-friendly tech – Make tools accessible and easy to use on the ground
0%
Stronger digital infrastructure – Boost connectivity and access in rural areas
0%

Pratibha Kiragi

April 2, 2025

How can we reduce duplication in GHG monitoring efforts?

1

Voters

Standardized protocols – Creating universal guidelines for consistency
0%
Data-sharing mechanisms – Improving transparency and interoperability
0%
Collaborative platforms – Bringing stakeholders together to align efforts
100%
Policy alignment – Harmonizing regulations across markets
0%

Pratibha Kiragi

March 25, 2025

Which approach do you think holds the most promise for cost-effective GHG monitoring in agriculture?

1

Voters

dMRV tools – Automated data collection, AI, and remote sensing offer scalable solutions
0%
Low-cost sensor technologies – Affordable, on-ground measurement tools for farmers
0%
Satellite and remote sensing – Large-scale monitoring with minimal fieldwork
100%
Farmer-led data collection – Community-driven approaches to reduce costs
0%

Pratibha Kiragi

March 19, 2025

What is the most critical factor in improving GHG monitoring for effective carbon markets?

1

Voters

Reducing costs – Making monitoring tools more affordable and accessible
0%
Improving accuracy – Enhancing data reliability and verification methods
100%
Standardizing frameworks – Creating consistent guidelines across markets
0%
Enhancing accessibility – Ensuring smallholders and diverse stakeholders can participate
0%

Pratibha Kiragi

March 11, 2025

What is the main challenge in using AI & big data to reduce farm emissions?

1

Voters

Limited access to quality data
0%
High costs & affordability concerns
100%
Lack of trust & farmer adoption
0%
Weak policy & regulatory support
0%

Pratibha Kiragi

March 4, 2025

Which factor is most critical for making carbon markets fair and accessible for farmers?

2

Voters

Easy and affordable carbon measurement tools
0%
Transparent and fair payment systems
0%
Strong policies and farmer protections
50%
Better training and awareness for farmers
50%

Pratibha Kiragi

February 25, 2025

What is the biggest challenge in scaling regenerative agriculture?

3

Voters

High initial costs & lack of financial support
33.33%
Limited awareness & technical knowledge
66.67%
Market demand & profitability concerns
0%
Policy & regulatory barriers
0%

Pratibha Kiragi

February 18, 2025

Are digital tools making carbon markets fairer for smallholder farmers? Which challenge needs the most improvement?

4

Voters

Lowering costs for farmers
25%
Improving trust & transparency
25%
Simplifying measurement & verification
25%
Scaling successful models
25%

Pratibha Kiragi

February 12, 2025

What is the biggest barrier to turning agricultural GHG data into action?

5

Voters

Lack of access to digital tools
20%
Data complexity and lack of user-friendly insights
40%
Limited trust in data and its accuracy
20%
Poor integration into decision-making processes
20%