Ripe and unripe pistachios lies in their appearance, taste, and texture, as well as their uses. Ripe Pistachio: The kernel inside is vibrant green with purple skin, larger, and fully developed. More aromatic and flavorful than unripe pistachios. Widely used in desserts (ice creams, baklava, pastries) and savory dishes. Unripe Pistachio: The nut kernel is smaller and pale green or yellowish. Less sweet and not as flavorful as ripe pistachios. Sometimes used in specialty cuisines, pickling, or as a garnish. This dataset contains 966 images for ripe and 966 images for unripe classes.

The IP102 dataset comprises 75,222 images of 102 pest species, out of which 12 classes are chosen for detection tasks. The custom pest dataset contains 10 categories of pests commonly found in crops like rice, maize, soybean, and canola. It includes images captured under varied real-world conditions, such as different lighting, occlusion, and complex backgrounds, making it highly representative of practical agricultural scenarios.

The proper evaluation of food freshness is critical to ensure safety, quality along with customer satisfaction in the food industry. While numerous datasets exists for individual food items,a unified and comprehensive dataset which encompass diversified food categories remained as a significant gap in research. This research presented UC-FCD, a novel dataset designed to address this gap.

This dataset provides turbidity measurements collected during a Moringa oleifera leaf water treatment process for compound extraction. The extraction process was conducted over a 15-minute duration, capturing key changes in turbidity to reflect the dynamics of the process. The raw data has been preprocessed, upsampled, and annotated for time series analysis, enabling detailed investigation of extraction patterns. Additionally, the dataset has been optimized using the ForGAN (Forecasting GAN) algorithm to enhance data granularity and support predictive modeling.