Source.ag accelerates access to fresh fruit and vegetables by empowering greenhouse growers with AI. Founded in 2020, the company brings together experienced engineers and plant scientists to turn millions of data points on climate, biology, and resources into clear decisions. The platform helps growers run scalable, predictable, and profitable greenhouse operations worldwide.

Source.ag

Source.ag Launches AI-Driven Harvest Forecast for Pepper Growers

Source.ag, the data and AI platform for professional greenhouse horticulture, today announced the commercial launch of Harvest Forecast for pepper cultivations. The AI-driven forecasting model, already trusted by tomato growers worldwide, now extends to peppers for the first time, with additional varieties expected in the coming weeks.

Harvest Forecast replaces the manual yield forecast calculator for peppers that growers have relied on within the Source Platform to estimate weekly harvest volumes. Instead of building forecasts by hand, pepper growers now get an automated, data-driven weekly prediction built from their cultivation data.

Results from pilot growers
Early results from pilot growers at Harvest House and Jansen Paprika’s show the AI model cut average forecast error at the three-week horizon by more than 40%. Outlier weeks, where forecasts missed by a wide margin, dropped 28%. On certain varieties, accuracy improved even further.

“With Source's Harvest Forecast AI, we can better align the expected supply from our growers with the demand from our retail customers," says Marco Hanemaaijer, Strategic Supply Chain Manager at Harvest House. "In the tomato segment, the tool is already proving its value: an accurate harvest forecast gives us control over the entire supply chain. We see strong potential for its application in bell pepper cultivation. Two of our bell pepper growers are now piloting it, actively sharing their experiences and contributing to its further development so that Source.ag can deliver a robust and practical solution."

"What used to be done manually in Excel — counting, entering data, making forecasts — now happens automatically with Harvest Forecast from Source," says Gerard Kremer, Cultivation Manager at Jansen Paprika. "In pepper growing, you always want to know what's coming. If you can predict that accurately, you can manage more effectively and efficiently, and align better with sales and planning. With labor costs continuing to rise, more efficient planning is no longer a luxury, it's a necessity. Source helps us do exactly that. Harvest Forecast for peppers has only just launched, but we already see a lot of potential in how it will develop."

Why the three-week horizon matters
For pepper sales and planning teams, the three- to four-week forecast window drives the most important decisions: supply commitments to retailers and cooperatives, labor scheduling, and logistics. Growers submit weekly harvest forecasts to their cooperatives and trading partners, a process that has historically been manual and error-prone.


Source's model updates the forecast automatically any time new information is available, combining plant data, greenhouse climate, and cultivation strategy. Head Growers enter rounds and percentage colored data weekly. The model handles the rest.


Availability and scope
Harvest Forecast for pepper launches with support for six varieties: Alzamora, Gina, Cadalora, Yedda, Frazier, and Silverstone, covering a significant share of the block pepper customer base. Additional varieties are available in the coming weeks.


Building AI forecasting across crops
The pepper launch follows Source's recent announcement of Harvest Forecast for tomato to a next-generation AI model, which reduced forecast error by 25% across cultivations.

”Pepper growers have been asking us for this for a while”, says Lotte Adema VP of Product at Source.ag. “We had the forecasting foundation from tomato, but pepper is a fundamentally different crop. Getting the model to perform at this level took serious effort from our Data Science and Plant Science teams. Now pepper growers finally have a forecast they can share with their Sales teams and stand behind.”

Source Advances Harvest Forecasting for Tomatoes with Next Generation AI Model

Source.ag, the data and AI platform for professional greenhouse horticulture, today announced a significant breakthrough to its AI-powered Harvest Forecast model for tomatoes. The next-generation model introduces fundamental changes to how it is trained, updated, and improved, leveraging state-of-the-art AI to continuously advance accuracy through real-world cultivation data. The result is a model that handles climate variability that no individual grower could encounter alone. The newest generation model has been available to a small group of growers for field testing, with a full rollout imminent.

The results are remarkable. At the three-week forecast horizon, mean forecast accuracy has increased by 33% compared with the previous-generation model. The share of cultivations with forecasts more than 20% off target has declined by 25%. And severe outliers, cultivations where the forecast had big misses, have been reduced by 50%.

Behind these results is a fundamental change to how the model learns and develops. This next-generation model now combines the state-of-the-art from horticulture science with an AI model that learns from the setup and challenges that are unique to every greenhouse, accounting for all the ecological and logistical complexities that influence the daily harvest.

Apart from increased accuracy, the most significant practical change for growers is a substantial reduction in manual input. Several data processes that previously required regular manual registrations have been automated, removing a recurring operational burden while improving forecast accuracy. Growers get more reliable numbers, with less work to produce them.

Rollout is phased, with an initial group of greenhouses already live and a broader expansion planned in the coming weeks. Full deployment to all tomato customers is expected in the coming months. This advance in AI-powered forecasting reflects the direction Source is taking the platform as a whole and marks the beginning of a much broader AI transformation that Source is driving for growers and sales teams.

"What makes this meaningful is how the model improves over time," said Rien Kamman, CEO and Co-founder of Source.ag. "The AI model learns from every cultivation running through Source.ag, so the model's performance compounds as more growers use the platform. That's the direction we've been building towards: AI that gets better with scale, not just with manual effort.”

“The most tangible change for growers is how much less the model asks of them," said Sebastiaan Vermeulen, Data Scientist at Source.ag. “We've automated several of the data processes that used to require regular manual input, which removes real friction from the grower's week. At the same time, we made a number of changes to how the collected data is used in the new model, leading to substantial improvements in the prediction accuracy. We’ve now made it easier than ever before to hit harvest commitments, realise a better price, and reduce waste.”

Source.ag Launches New Product Tiers

Source.ag, the provider of AI solutions for vegetable growers, today announces the release of three new product tiers, making access to high-quality data and AI more accessible and affordable for growers worldwide. These new offerings are designed to help growers unlock significant growth, scale and become more profitable by integrating AI-driven solutions into daily greenhouse operations. 

Source.ag believes AI is not here to replace growers but to empower them—providing tools that enhance decision-making and operational efficiency. By simplifying data collection across the entire growing operation and seamlessly embedding AI into daily workflows, these newly introduced tiers will enable growers to harness the full potential of AI, driving productivity and profitability to new heights.

Source Workspace: Centralizing Data for Smarter Operations

Source.ag introduces Source Workspace, designed to solve the challenge of fragmented data across multiple systems that causes lack of transparency and visibility into greenhouse operations. By centralizing all operational data into a single platform, Source Workspace provides quick access to critical cultivation metrics, giving users a comprehensive and real-time overview of their performance. This empowers growers to collaborate more easily and make timely, data-driven decisions, improving productivity and profitability across their greenhouse operations.

Source Workspace seamlessly integrates, at scale, with all relevant data sources and workflows, ensuring growers’ readiness to embed AI across operations to maximize productivity and profitability. 

Harvest Forecast: Predictable Yields for Smarter Sales and Operations

With Harvest Forecast, Source.ag addresses the challenge of inaccurate yield predictions, which often leads to conservative trading strategies and higher dependence on volatile spot markets. This approach results in missed opportunities and contributes to waste. Poor forecasts also complicate downstream planning, increasing costs in labor, packaging, and logistics. 

Harvest Forecast provides growers with precise, up-to-date daily yield predictions up to eight weeks in advance, refreshed daily with the latest data. By integrating forecasting across teams—growers, labor managers, and sales—this solution enables more effective cross-team collaboration and timely strategic adjustments to harvest plans. As a result, growers’ sales teams can secure more pre-arranged contracts at steady, higher prices, while simultaneously reducing operational costs.

Cultivation Management: Simulate, Optimize, and Execute for Maximum Yield

Cultivation Management helps growers tackle the uncertainty of strategic crop decisions made before and during the growing season. Parameters such as stem density, fruit pruning, temperature, and lighting have long-term effects that are difficult to predict, especially when external factors—like energy prices or weather—turn out differently than expected. This new tier enables growers to run various strategies virtually and assess how key parameters will affect crop development, plant balance, fruit weight, and yield to then make data-driven decisions without risk. This dynamic approach shortens the learning curve, improves resource efficiency, and enhances profitability. 

Ultimately, Cultivation Management allows growers to confidently implement strategies that maximize yield with minimal risk while maintaining plant health throughout the season.

Part of the Larger Source.ag Product Suite

These new product tiers are an integral part of the broader Source.ag product suite, designed to provide growers with comprehensive, end-to-end operational support. 

The backbone of Source Workspace is Source Plant App, a powerful tool that growers can leverage at no extra cost to effortlessly digitize plant data, enabling deeper insights into plant development, growth, and overall health. The Source.ag product suite also includes Source Irrigation Control, which enables autonomous execution of irrigation and nutrient strategies, effectively putting the greenhouse on autopilot. 

Additionally, Source Cloud simplifies the process of connecting cultivation data to internal systems, such as Power BI, for enhanced analysis and reporting. By combining these solutions, growers gain access not only to advanced AI tools but also to a fully integrated system for managing, automating, and optimizing their operations. 

This ecosystem of solutions empowers growers to respond more effectively to changing conditions, leverage strategic insights, and achieve more sustainable and profitable outcomes.

Empowering Greenhouse Growers Globally

The three new product tiers represent Source.ag’s commitment to supporting growers through innovation and technology. By removing barriers to data access and AI adoption, Source.ag aims to supercharge growers’ capabilities, enabling them to achieve more sustainable and profitable operations. With these advancements, Source.ag puts its customers in pole-position to adopt AI in their daily operations and continues to drive the transformation of global food production, helping to ensure access to fresh fruits and vegetables for more people in a sustainable way,
said Rien Kamman, the Co-founder and CEO at Source.ag.

Source.ag’s clients include Agro Care, Thanet Earth, The Green House Growers, Grupa Mularski, Le Jardin de Rabelais, Hazel Farms Group, Delta View, and other leading growers worldwide. The company partners with renowned global organizations and institutions, including Bayer, Priva, Ridder, Aranet, Syngenta, Enza Zaden, Rijk Zwaan, World Horti Center, and many more.

Globally, more than 300 commercial greenhouses covering over 1800 hectares in 19 countries rely on Source.ag’s AI solutions, collectively producing fresh vegetables for over 60 million people worldwide—a number that continues to grow. 

About Source.ag

Source.ag is accelerating access to fresh fruit and vegetables by empowering the world’s growers with AI. Founded in 2020 by Rien Kamman (CEO) and Ernst van Bruggen (CPO), Source.ag has brought together a team of experienced engineers and plant scientists and has partnered with the world’s leading growers to build the sector’s most advanced AI. Its AI solutions can simulate plant behavior for defining and implementing optimal cultivation strategies, taking into account millions of data points on climate, biology, and resources. By enabling more growers to operate more facilities more efficiently through pioneering tech, Source.ag is making covered greenhouse agriculture accessible, profitable, and globally scalable. Together, we’re on a mission to feed the world, in a climate-resilient and resource-efficient way.

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Irrigation Control

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Irrigation Control transforms the way you manage irrigation, ensuring precise water and nutrient delivery for healthier crops and more efficient, scalable operations.

Irrigation Control automates water and nutrient delivery, adapts in real-time to changing conditions, and ensures consistent, scalable irrigation.

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