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The shift towards sustainable and regenerative agriculture is being propelled by global farmers due to increasing awareness of social inequalities and climate change. To make this transition a reality, farmers should consider various sustainability factors including all economic, environmental, and social factors, and tackle the complexity of the harvest planning. This study introduces a new multi-objective optimization approach that employs fuzzy logic and multiple objectives to facilitate sustainable harvest planning in the face of various sources of uncertainties such as changes in commodity prices, weather conditions, crop ripening patterns, and productivity fluctuations. The model seeks to optimize profit while minimizing greenhouse gas emissions and wastes generated by harvesting machines as the economic and environmental dimensions. To incorporate social sustainability, we define the farmer's working days …