Accurately identifying fabric types is a complex and important issue in the textile industry, as materials such as cotton, denim, linen, polyester, and silk often have similar characteristics. Traditional manual methods of separating fabrics are time-consuming, expensive, and sus...
Open access
Research Article10.9734/ajrcos/2026/v19i1814
Soil wetness is the most important factor for a plant to survive. If the soil is completely dry for a long time, the plants will perish. Many plants will also die if the soil is submerged in the water for a long period of time. Without water, plants will not be able to take nutri...
Open access
Research Article10.9734/ajsspn/2024/v10i4451
The tomato is a very popular and commonly eaten fruit. Its quality, which affects how people see it, depends a lot on how it looks. Convolutional neural networks, which are advanced computer programs, are great at using deep learning to sort and classify fruits, grains, and veget...
Open access
Research Article10.9734/ajrcos/2024/v17i12534
In Bangladesh, pineapple variety identification is still largely dependent on experience and eye-tracking. As a result, there is a possibility of misclassification in marketing, grading, pricing, and agricultural supply chain management. This study proposes a feature-based machin...
Open access
Research Article10.9734/ajrcos/2026/v19i1815
The identification of pests is critical for the protection of crops and the guaranteeing of stable food supplies. Outbreaks of pests in Bangladesh result in significant losses, and the traditional techniques of pest control are frequently delayed and inefficient. This research pr...
Open access
Research Article10.9734/ajrcs/2025/v10i3368