**Market:** Our market is arable/horticultural farms that are increasingly data-driven but resource poor (skills, systems etc). These farms need support to manage their data to enhance decision making and reduce the load and stress of making sense of it. They need to increase productivity across all farm activities allowing them to respond to changing (reducing) subsidies, the volatility of climate change, input costs, and output prices, and the move to net-zero. One specific issue is the unnecessary administrative burden of completing forms and reports to receive subsidies, manage their supply chain, and satisfy customers. They need a way to manage these productivity issues. **Levelling-Up:** Agriculture is the backbone of Eastern England's economy, contributing significantly to national/international food supplies. However, it faces challenges of modernisation, efficiency, and sustainability. Despite enormous diversity, regional farms face common issues, including labour-intensive processes, inconsistent data management, and need of sustainable practices. The large volumes of disparate data being generated (textual records, numeric statistics, images etc) is compounding these challenges. **Project:** Building on the Diometer data management platform, Flexifarm (InnovateUK project 77132), being piloted at the Euston Estate in Suffolk, Agri-KG adds a continuously learning AI-powered agricultural Knowledge Graph (KG) to deliver a comprehensive platform for data-driven decision-making. Integrating Agri-KG into Flexifarm adds intelligence and seamless Open access by any/all AI-based algorithmic applications. We will develop the KG driven by a set of real farm-led AI-applications, the first of which, an Automated Form Filler, will also be delivered as part of the project. **Agri-KG:** Supports advanced Decision Support Systems and Predictive Analysis to drive on-farm operational productivity further (**primary crops, waste reduction etc**). Integration with Flexifarm, improves: 1. Operational (task-based) **productivity of primary crops** 2. Measurement of environmental footprints (**sustainability)** 3. Measurement of carbon used and sequestered (**net-zero**) 4. Supply chain **resilience** in an increasingly challenging market By increasing productivity alone this project significantly enhances regional arable/horticultural agriculture. The application of AI also leads to identification of knowledge gaps and deeper understanding of intricate relationships between agriculture and sustainable cropping. **Project Outcomes:** An Agricultural Knowledge Graph (KG) and an Automated Form Filler (AFF) AI-application, both integrated with Flexifarm. **Innovation**: A Flexifarm/Agri-KG gives farmers a single, 'open', 'one-stop-shop' for data integration leading to advanced data-led informed decision-making and predictive analysis for operational efficiencies. **Team**: The project partners, Diometer and University of Suffolk, with support from regional farms, agricultural advisors, and UK Agritech Centre, combine agricultural, systems, data, and AI expertise.

The agricultural sector relies heavily on forms for critical tasks like crop management, inventory tracking, regulatory compliance, and food quality certification. However, manual form management systems are often outdated, time-consuming, and error-prone, directly helping lead to financial losses for hard-pressed farmers and inefficiencies in the agricultural supply chain. In the worst cases there can be a negative mental health impact on farmers which leads to depression and even suicide. Our project proposes a pragmatic AI solution leveraging Natural Language Processing (NLP) and Machine Learning (ML) to automate agricultural forms. Imagine a system that can intelligently extract data, fill out forms with predicted values, and generate reports based on textual information. This solution will minimise manual data entry, accelerate form processing, and alleviate a burden on farmers allowing them to focus on core activities. This feasibility study will pave the way for developing and deploying a real-world AI form management solution tailored to the agriculture sector's specific needs. By replacing outdated systems with intelligent automation, this project has the potential to significantly impact the agricultural landscape, fostering a data-driven approach to sustainable and efficient food production.

FlexiFarm is a project aiming to increase the resilience of the important first link in the global food chain, primary growers. The COVID-19 pandemic has highlighted the need through empty shelves, shortages of food items, logistical issues, and staff shortages. Future largescale events, including leaving the EU, are already looming (plans for lorry parks at major UK ports have recently been announced), whilst Climate Change, zero-carbon farming and sustainable farming are forcing additional change. Additionally, UK farmers will need to adapt as the Basic Payments scheme is phased out and the Environmental Land Management scheme (ELMs) emerges. Farming is facing a perfect storm. Today there are many suppliers of hardware, software applications, and data to farms, many of whom have excellent solutions. However, their solutions tend to either operate independently or at best interact on a one-to-one basis. Many suppliers have significant vested interests in maintaining the status quo, whilst the effect is costs increase and margins are squeezed -- all making farmers less able to adapt and therefore reducing the resilience of the food chain. To address these challenges, farms need modern digital infrastructure to operate efficiently and flexibly on an end-2-end basis, a whole farm management solution. This project aims to address this through the development and trial of a new virtual farming platform, an integrated digital platform bringing together the best in the industry at the data level. We will link different hardware, software and data sources, focusing on end-2-end operational workflows. Working with one of the largest farming operations in East Anglia we will trial the platform to demonstrate the benefits, feeding findings back into its development. Initial focus will be on agrichemical operational management, carbon use, integrated job management, and monitoring sustainability and biodiversity. Existing solutions providers in the market will benefit by being able to deliver additional value to existing clients, making sales to new ones, and focusing on their core value add. Farmers benefit with cost savings and a flexible strategic technology platform. The industry and the economy benefit by increasing the resilience of the food system in the context of Climate Change, the need for more sustainable farming, and increasing biodiversity.