Deforestation protocols

• Finalization of FMD : Any farmer/farm that misses or contains inconsistent data on the mandatory fields on the final date of submission will be excluded from delivering to Tony’s Open Chain in the next cocoa season, as they will not be included in the FMD. To ensure this data is available for use in various analyses, the final approved datasets together with all the intermediate datasets are locked and stored in a centralized location.

2. Deforestation Risk Analysis

What? All farms in the Farmer Register must be assessed for deforestation by Tony’s Open Chain’s Deforestation Risk Analysis partner(s).

When? Before the cocoa season begins.

Key steps in the process: • Data submission : The Tony’s Open Chain Data Team submits all polygon data from the Farmer Master Dataset with Enveritas, our third-party Deforestation Risk Analysis Partner. • Land cover change analysis : Enveritas conducts an analysis to answer several key questions, including the question: “Which farms have seen non-compliant deforestation after 2020?”. The methodology combines very high-resolution satellite imagery (0.5 meters) with ground-truthing, as well as a team of full time data labellers to review the satellite imagery and reduce risk of false positives. Enveritas relies on two in-house models: - 2020 Base Land Cover Model : This deep learning model uses diverse imagery sources at different resolutions to classify land types in local contexts, such as forest, cocoa, coffee, palm oil, rubber, and water. The model is designed to perform reliably across various sensors and resolutions, and to overcome challenges related to cloud cover or missing data. - Annual Change Detection Model : This takes as input the land cover outputs before and after a given year, along with a series of images in between. It then estimates whether deforestation occurred during the year of interest. Together, these models work to identify deforestation activity and establish the nature of any subsequent agricultural land use (cocoa farming, or another crop).

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