Yield forecasting plays a crucial role in the success of commercial greenhouses. It refers to the process of predicting the expected crop yield or production output in a greenhouse environment. By estimating the yield, greenhouse operators can make informed decisions regarding crop management, resource allocation, and financial planning. This forecasting technique combines historical data, current conditions, and advanced analytical tools to provide accurate projections.

Yield forecasting offers several benefits for commercial greenhouse operations. Firstly, it enables growers to optimize resource allocation. It also assists in crop planning and decision-making. Growers can anticipate the market demand and plan their planting schedules accordingly. This enables them to align their greenhouse operations with market trends, reduce losses due to oversupply or undersupply, and maximize their profits.

In conclusion, yield forecasting is a crucial tool for commercial greenhouses to predict and plan their crop production. This enables them to optimize resource allocation, make informed decisions, and manage risks effectively. With the help of yield forecasting, commercial greenhouses can enhance their productivity, profitability, and sustainability in a highly competitive market.

The IPM module of OKO can work with any type of crop grown inside a commercial greenhouse. The Yield Forecasting module currently works with Tomatoes and Bell Peppers. If you are interested in other crops please reach out to our team to discuss your options.

OKO provides an accurate view of the harvest, which can be used for sales forecasting and decision-making. When driven down a row of plants, OKO automatically captures and analyzes images of the greenhouse. The data automatically gets processed by our on-device supercomputer and GPU. The result is highly accurate and available in real-time to decision-makers. Forecasting data can be used to plan and optimize labour, forecast sales, and secure better prices in the market.

An onboard machine vision camera on the OKO, combined with the yield forecasting AI model running on the machine, works together to capture and process yield forecasting data. The results are transmitted to the cloud via the greenhouse's WiFi network, making a fast and stable connection crucial for optimal performance. 

You own all of the data collected and stored by OKO and ecoation from your Greenhouse. You have complete control and access to the collected data through our interface. We only store the data for the purposes that have been agreed upon as part of our Digitized Scouting, Integrated Pest Management and Yield Forecasting program.

OKO's AI is more useful because it samples more plants per acre than traditional techniques, providing farmers with a more accurate forecast. This helps farmers optimize yields, reduce risks, and maximize profits.

OKO’s forecasting accuracy has been demonstrated across more than 20 tomato and pepper cultivars, with consistent outperformance or at par with top-grower forecasts. Its use of machine learning algorithms and granular data sources allows for increasingly precise predictions season after season.

OKO’s forecasting capabilities have been rigorously tested across more than 20 cultivars of tomatoes and green peppers, with minimal deviation between the forecasts and actual harvests. Leveraging machine learning algorithms, OKO’s forecasting accuracy improves with time, resulting in increasingly precise results from season to season. Importantly, OKO’s AI has consistently outperformed traditional grower forecasts, proving its ability to provide highly granular and accurate predictions for a wide range of greenhouse productions.