#Chatbots

Innovative strategies: AI-powered sustainable smart farming – NTT Data

Welcome to the forefront of conversational AI as we explore the fascinating world of AI chatbots in our dedicated blog series. Discover the latest advancements, applications, and strategies that propel the evolution of chatbot technology. From enhancing customer interactions to streamlining business processes, these articles delve into the innovative ways artificial intelligence is shaping the landscape of automated conversational agents. Whether you’re a business owner, developer, or simply intrigued by the future of interactive technology, join us on this journey to unravel the transformative power and endless possibilities of AI chatbots.
Explore how cutting-edge AI-driven sustainable farming and offer lifecycle management are revolutionizing the agriculture industry.
NTT DATA uses Generative AI capabilities to address one of many critical Communications Service Providers (CSPs) challenges: creating new monetization avenues. AI-powered sustainable smart farming is one way for CSPs to provide proactive, preventive and prescriptive care to agro companies. Smart Farming as a Service (SFaaS) integrates advanced connectivity, data analytics and Generative AI to foster sustainable agriculture by using a dynamic B2B2X model, integrated sensors and automated systems to enhance farming efficiency.
The integration of AI and GenAI is poised to revolutionize the telecommunications industry, offering a plethora of opportunities for improving operations, customer experience and overall efficiency. Here’s a look at the key areas where AI and GenAI will drive future transformations for telco operators:
Improved customer experience
Operational efficiency
Cost reduction
Data analytics and insights
Security enhancements
Sustainability and environmental impact
New revenue streams
Future innovations
As AI and GenAI technologies continue to evolve, telco operators are set to experience unprecedented levels of innovation and efficiency, transforming their operations and the services they provide to their customers. This future-forward approach not only benefits the telecom industry but also contributes to broader societal and environmental goals.
This article focuses on how NTT DATA has been working with CSP clients and partners to realize the future with AI/GenAI, especially in the areas of new revenue stream and sustainability for CSPs. For further We leverage the innovative partnership NTT DATA is an active member of TM Forum Catalyst projects, collaborating with CSP clients and partners to pursue this ambition. In the recent TM Forum Catalyst project, we focused on agriculture industry as an industry which can benefit from introduction of AI/GenAI.
Telecom GenAI Revolution (2:16)
Collaborative ecosystems: There is a growing trend toward creating collaborative ecosystems involving agricultural companies, telecom operators and IoT suppliers to provide comprehensive smart-farming solutions.
Sources: Market Research Report on Global Smart Farming Market (2022), Statista Report on Smart Agriculture Market Size (2022)
Regulatory support: Governments and regulatory bodies are increasingly supporting the adoption of AI and IoT in agriculture through subsidies and policy initiatives.
For agriculture industry clients, their main challenge is to maximize crop yield and minimize carbon emission, but at the same time, they want to optimize cost through efficient agricultural practices.
For the Agriculture solution providers, they want to support the agriculture industry clients by providing their services effectively and efficiently. In order to do so, agriculture solution providers want to establish strategic business leading CSPs for enhanced operational efficiency and robust connectivity, while creating new business opportunities and revenue.
To resolve above challenges, NTT DATA joined the Catalyst project for Smart Faming to foster a more sustainable agriculture model, optimizing energy & resources while promoting a greener future. To achieve it, Telco Industry plays a crucial role by developing and commercializing Smart Farming as a Service (SFaaS) solution that integrates advanced connectivity with data analytics and GenAI and 3rd Parties Agro Specific Solutions.
The Future of Smart Farming (3:57)
In the relentless pursuit of sustainability and profitability in agriculture, this Catalyst project harnesses cutting-edge technology to revolutionize the industry. At the heart of this endeavor lies Generative AI, a pivotal part of our innovative approach to farming. In this blog, we delve into the key technological details, architecture design, ROI models, business outcomes and the potential impact of our initiative on the agriculture industry.
Figure 1: Team members and key pillars of the catalyst project
We believe telecom operators (CSPs) are at the forefront of the next generation of network transformation, and one of the most promising avenues for innovation is through AI-powered sustainable smart farming that uses Generative AI and predictive analytics. By developing a SFaaS solution, CSPs integrate advanced connectivity, diverse data inputs and sensor integration to improve energy and resource use.
Here’s how CSPs can leverage these technologies to drive network transformation:
By leveraging Generative AI and predictive analytics, CSP’s can facilitate proactive, preventive and prescriptive measures across various farming scenarios. This enables the development of a Smart Farming as a Service (SFaaS) solution that combines advanced connectivity with data analytics and third-party agro-specific solutions.
The aim is to promote a sustainable agricultural model that improves energy and resource use while fostering a greener future. By anticipating environmental conditions, this approach empowers farmers to make proactive decisions, helping them prepare for and adapt to changing circumstances. Ultimately, it ensures optimal crop yields and effective resource management.
CSPs can develop an SFaaS solution that integrates:
Figure 2: Smart Farming as a Service architecture
Several data inputs fuel our solution, including:
This data is used to inquire about available offers and pricing, and to generate corrective offers tailored to individual farming needs.
Dynamic lifecycle adaptation is a revolutionary approach that uses the power of GenAI to transform intelligent farming and analyze critical crop data points (stages, growth patterns, pest infestations, fertilization needs and more).
Through continuous data analysis, GenAI identifies the exact needs of the crops and uses a simple chat interface to propose actionable changes to the agriculture operator. This seamless integration into farm management enables proactive, data-driven decisions that enhance productivity and sustainability, keeping the farm a step ahead in meeting its evolving demands.
Figure 3: Dynamic Lifecycle Adaptation concept
Our solution aims to deliver quantifiable business outcomes and success metrics, including:
Figure 4: Business outcome of Gen AI
The potential impact of our Catalyst solution in revolutionizing and solving the challenge is profound:
Elevated consumer advantage
As consumer preferences pivot toward organic and sustainable choices, automated farming emerges as a catalyst for delivering faster, fresher and more ecofriendly produce. The heightened productivity resulting from automation increases overall yield and drives down costs for consumers.
Streamlined labor operations
In a landscape where labor makes up over 50% of farming expenses and labor shortages affect 55% of farmers, the integration of harvest machine learning offers a transformative solution. Automating routine tasks through robotics technology significantly cuts down on labor costs. For instance, a single strawberry robot harvester can cover a 25-acre area in just three days, effectively replacing the need for 30 farm workers.
Sustainable agricultural practices
Automated farming not only bolsters profitability but also aligns with sustainable agricultural practices. Through precision farming techniques, farmers can judiciously apply pesticides and fertilizers, reducing the environmental impact on soil and water. Automated systems contribute to energy and water conservation to diminish the overall environmental footprint of farming.
CSP efficiency advantages
By adapting resources to real-time requirements, automated farming ensures the judicious use of resources for platform services. This adaptability enhances the efficiency of the platform, paving the way for a more responsive, resource-efficient and streamlined ecosystem.
NTT DATA’s initiative represents a groundbreaking fusion of advanced technology, data-driven insights and sustainable practices. It is poised to reshape the agriculture landscape for the better. By using GenAI and a comprehensive approach to resource management, we aim to elevate the customer experience, reduce costs and improve the quality and reliability of agricultural operations. The transformative potential of our solution promises a brighter, more sustainable future for farming, benefiting both stakeholders and society.
In future phases, we aim to expand our solution’s scope to:
Through these enhancements, our initiative will not only support the agriculture industry’s growth but also address broader societal and environmental challenges, paving the way for a sustainable future.
Luis Fernando Rubio Martinez
Telecom Executive Director
TM Forum
Catalyst Home page

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Innovative strategies: AI-powered sustainable smart farming – NTT Data

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