Agtech for cocoa supply chain traceability and sustainability
AI and predictive agriculture: Supply chain traceability key to fulfilling sustainability promises
Ghana is the world's second-largest cocoa grower and producer of about 20% of the world's cocoa. Cocoa is an extremely labor-intensive crop. Cropin partnered with the client and developed a future-ready farming solution called ‘CocoaSense’ to manage and monitor cocoa cultivation in an accurate, affordable, and scalable fashion.
How Cropin helped?
Sustainability: Cropin’s Agtech solution is reinventing how food is produced, processed, and brought to the end consumer. Its cutting-edge technologies promote sustainable farming practices. Cropin perfected ‘CocoaSense’ to support sustainable cocoa cultivation in Ghana. It leveraged remote sensing, artificial intelligence/machine learning, and satellite imagery to help cocoa farm management and monitoring. The objective is to ensure sustainable cocoa production that is free of child labor.
Cropin also aims to support SAT4Farming, which targets to increase average Ghanaian cocoa yields three-fold to 1500 kg per annum through innovations in farming.
Predictability: Cropin’s predictive solution uses historical data and scientific analysis of current trends to provide a near-accurate forecast for the agro-ecosystem globally. Its AI engine with proprietary algorithms provides accurate crop detection, acreage and yield estimation, crop stage, and health monitoring.
Using the Cropin platform, food producers, processors, traders, and agri-input companies can benefit from data-driven insights to drive decision-making. This, in turn, improves productivity, mitigates risks, and drives efficient sourcing and procurement.
Traceability: Cropin digitized every stage in the supply chain to ensure end-to-end traceability, enabling stakeholders to gain control over crop production and distribution. For instance, Cropin empowered one of Asia’s prominent exporters of grapes with its traceability across all stages of production from pre-sowing to shipping. This enabled farm-to-fork traceability, quality control, and compliance with export norms.
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Ghana is the world's second-largest cocoa grower and producer of about 20% of the world's cocoa. Cocoa is an extremely labor-intensive crop. Cropin partnered with the client and developed a future-ready farming solution called ‘CocoaSense’ to manage and monitor cocoa cultivation in an accurate, affordable, and scalable fashion.
How Cropin helped?
Sustainability: Cropin’s Agtech solution is reinventing how food is produced, processed, and brought to the end consumer. Its cutting-edge technologies promote sustainable farming practices. Cropin perfected ‘CocoaSense’ to support sustainable cocoa cultivation in Ghana. It leveraged remote sensing, artificial intelligence/machine learning, and satellite imagery to help cocoa farm management and monitoring. The objective is to ensure sustainable cocoa production that is free of child labor.
Cropin also aims to support SAT4Farming, which targets to increase average Ghanaian cocoa yields three-fold to 1500 kg per annum through innovations in farming.
Predictability: Cropin’s predictive solution uses historical data and scientific analysis of current trends to provide a near-accurate forecast for the agro-ecosystem globally. Its AI engine with proprietary algorithms provides accurate crop detection, acreage and yield estimation, crop stage, and health monitoring.
Using the Cropin platform, food producers, processors, traders, and agri-input companies can benefit from data-driven insights to drive decision-making. This, in turn, improves productivity, mitigates risks, and drives efficient sourcing and procurement.
Traceability: Cropin digitized every stage in the supply chain to ensure end-to-end traceability, enabling stakeholders to gain control over crop production and distribution. For instance, Cropin empowered one of Asia’s prominent exporters of grapes with its traceability across all stages of production from pre-sowing to shipping. This enabled farm-to-fork traceability, quality control, and compliance with export norms.