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also new: continuous insight into assimilate balance

Harvest forecast adjusted daily with new software

The horticulture industry is undergoing significant transformation, increasingly integrating AI software into its operations. According to Rien Kamman, CEO of Source.ag, this shift does not mean moving towards fully autonomous cultivation, which he insists is not feasible. "Cultivation is a skilled profession requiring a grower to manage many tasks," Kamman explains. Source.ag, a rapidly growing AI company, aims to support growers by automating certain tasks and providing assistance. "We've recently made substantial progress in this area and have more advancements in the works," Kamman notes about the steps taken earlier this year.

© Thijmen Tiersma | HortiDaily.comSource.ag at GreenTech Amsterdam 2025

This spring, a major change involved dividing a large software package into smaller, enhanced components, all centered around data. This initiative is now supported by Source Workspace, which Rien describes as the "foundation for everything related to data" for growers. Source Workspace connects with labor systems, sensors, and climate computers, allowing users to input and extract data. Its purpose is to digitize greenhouse horticulture operations in a cost-effective manner.

Rien is skilled at visually explaining the company's software, comparing it to LEGO pieces. "On top of Source Workspace, growers can click on separate AI modules," says the CEO and founder of the Amsterdam-based company. Source.ag is now active in over 19 countries, supporting 300 commercial greenhouses spanning more than 1,800 hectares.

© Source.ag

Harvest forecasting adjusted daily
One of the modules is Source Harvest Forecast. In the cultivation of greenhouse vegetables, the theme of harvest forecasting is very relevant. Growers are looking for solutions to forcast their harvests more accurately. Source.ag already offered software for this in Source Cultivate. Within that program, the grower can simulate cultivation plans and also create harvest forecasts. But not every grower is that far along to want everything. "One of the growers compared it to a snackbar menu, where you can choose what you want or don't want," says Rien. "We currently see strong traction in the market for the harvest forecasting segment."

Within Source Harvest Forecast, improvements have also been made to make harvest forecasting even more accurate. "The system has become more advanced. We look at harvest forecasts in a completely different way." Rien and his team have noticed that market predictions typically estimate the harvest quantity about four weeks in advance. "We are now enabling daily forecasts for up to sixty days ahead, providing insights into how the harvest will develop over time."

In Source Harvest Forecast, the accuracy of harvest forecast has been improved, benefiting both growers and sales teams. "The sales team at Harvest House also uses a Source account. Data from Source Harvest is seamlessly integrated into their systems through an API."

© Source.agThe improved harvest forecasting was also visible at HortiContact.

Digital employee with substantial agronomic knowledge
To speed up AI adoption in greenhouse horticulture, Source.ag is launching a new product line and developing an innovative tool called AskSource. Although this concept is common in other industries, it's new to horticulture. AskSource will be introduced as an AI co-pilot. "It represents a new way for us to assist growers," says Rien. The core of this technology is a Large Language Model (LLM). Currently, users navigate their phones or computers by clicking buttons to access screens with graphs, tables, or text. "What LLMs offer is a more natural way for growers to interact with our systems. AskSource will serve as an additional layer over all our existing software."

© Source.agRien provides an example of how AskSource will transform interactions with their software. Currently, if a grower wants to compare the 24-hour temperature and growth period for two crops, they have to manually search through data. Soon, it will be as simple as saying: "Good morning, I would like two graphs for two crops showing the 24-hour temperature and growth period. Can you compare them?" This change introduces a more interactive and conversational way of working with the software.

Like Source.ag's other software tools, AskSource is designed to assist rather than replace growers. It serves as a digital AI companion to support them. In the future, it could become so advanced that a grower can simply walk through the greenhouse, ask AskSource a question, and receive an answer right away without returning to the office. This effectively gives the grower a digital assistant with extensive agronomy knowledge.

Continuous insight into assimilation balance
AskSource is not yet available to the public, but another development is already being rolled out, according to Rien. "In collaboration with several growers, we've developed a method for consistently monitoring plant balance. For the first time, we're calculating the plant's assimilate balance, allowing us to see whether there's too much or too little energy for the crop. It's like a digital sensor that constantly watches over the plant, helping growers ensure that the maximum number of photons in the greenhouse are being converted into tomatoes or bell peppers."

The CEO and founder of Source.ag highlights the company's commitment to creating a simple, unified platform. "Our platform is designed to assist with data collection in a cost-effective way, enabling growers to predict, optimize, and automate various processes," he explains. "The key is making it easy and user-friendly, with the ability to seamlessly 'click' different components together. This approach is becoming more prevalent as development speeds up."

For more information:
Source.ag
info@source.ag
www.source.ag