# Fruit-Grower AI Software Citri&Co Extends ORTH from Safresco to Fruit Farms By Amy Duong | Written with AI assistance | Published 2026-10-27 | Business Source: Trend Hunter, https://www.trendhunter.com/trends/fruit-grower-ai-software References: [freshplaza](https://www.freshplaza.com/north-america/article/9885256/citri-co-and-orth-partner-to-bring-ai-agronomy-to-global-fruit-operations)  Citri&Co is bringing ORTH into day-to-day fruit-growing decisions, giving [agronomic teams](https://www.trendhunter.com/trends/plot-insights) a single view of field conditions, past results and expert judgment before they act. The rollout follows a pilot at Safresco, its Peruvian subsidiary, where the [agricultural AI system](https://www.trendhunter.com/trends/agricultural-technology-platforms) supported planning, analysis and field action. Across Citri&Co's 33,000 hectares in production, ORTH expands how much information agronomists and managers can capture and review. It also carries lessons from one farm to another, cutting time spent stitching records together and helping teams catch issues earlier. The Safresco pilot and a rollout across a fruit business supplying more than one million tonnes each year to over 70 countries turn agricultural AI from a test case into operating software for a major grower. That scale makes the platform relevant to producers that want tighter control of water, nutrients and crop protection without relying on scattered records. Image Credit: Citri&Co ## Trend Insights (Trend Hunter) - Score: 3.6/10 - Popularity: 5% | Activity: 3% | Freshness: 100% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: North America, South America, Europe, Asia, Africa ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Business](https://www.trendhunter.com/business) > [New Ventures](https://www.trendhunter.com/newventures) ## Key Themes ### What Makes This Trend Stand Out - **Agronomic AI Platforms:** Centralized intelligence for field conditions, historical outcomes and expert guidance creates room for farm software that becomes core operating infrastructure rather than a supplementary analytics tool. - **Farm-to-farm Learning:** Shared agricultural knowledge across distributed growing sites enables faster problem detection and localized decision support for producers managing varied climates, crops and operational practices. - **Precision Input Management:** Data-driven control of water, nutrients and crop protection supports more efficient resource use while opening space for predictive systems tied directly to yield, quality and sustainability targets. ### Sectors Adopting This - **Agriculture:** Large-scale growers gain new possibilities from AI systems that unify planning, monitoring and field execution across thousands of hectares. - **Agri-tech:** Software providers can differentiate through platforms that combine agronomic records, machine learning and expert workflows into daily decision environments. - **Food Supply Chain:** Global produce networks benefit from farm-level intelligence that improves consistency, traceability and risk visibility before crops enter distribution channels. ## Related on Trend Hunter - [Adaptive Robotic Harvesting Systems](https://www.trendhunter.com/trends/edge-iot-harvester.md) - [AI-Powered Vineyard Technologies](https://www.trendhunter.com/trends/cropx-vision.md) - [AI-Powered Root Phenotyping](https://www.trendhunter.com/trends/AI-powered-root-phenotyping.md) - [Personalized Farmer Podcasts](https://www.trendhunter.com/trends/harvestreplay.md) - [Agribusiness Field Software](https://www.trendhunter.com/trends/agribusiness-field-software.md)