A5015331544- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- Postharvest Quality and Shelf Life Management
- Date Palm Research Studies
- Irrigation Practices and Water Management
- Climate change impacts on agriculture
- Greenhouse Technology and Climate Control
Skolkovo Institute of Science and Technology
2021-2023
Food quality control is an important task in the agricultural domain at postharvest stage for avoiding food losses. The latest achievements image processing with deep learning (DL) and computer vision (CV) approaches provide a number of effective tools based on colorization image-to-image translation plant stage. In this article, we propose approach Generative Adversarial Network (GAN) Convolutional Neural (CNN) techniques to use synthesized segmented VNIR imaging data early decay fungal...
Artificial Intelligence (AI) methods and technologies have been successfully applied for recognizing objects, detecting segmenting RGB images. Today, such are widely used in precision agriculture to estimate food quality, especially when assessing plants fruits at various harvest stages. There also several processes taking place during the postharvest stages, as decay moldy. However, number of AI approaches allowing conditions is limited. In this work, we trained U-Net Deeplab models based...
The damages and diseases that may occur in apples during the storage cannot be seen visually at early stages is a significant problem precision agriculture leading to loss of lion share crop. difficulty predicting postharvest degradation while addressed this article. For prediction decay zones, we used Dynamic Mode Decomposition (DMD) method conjunction with Mask R-CNN model based on Convolutional Neural Networks (CNNs). validating idea have designed small greenhouse equipped necessary...
Artificial Intelligence (AI) is a widely used tool in precision agriculture for estimating the quality of food. It especially relevant while assessing crops at various harvest and postharvest stages. Crop disease damage detection task top priority: some diseases or damages, e.g. decay, may destroy create toxins harmful to human beings. In this work, we apply U-Net, Deeplab, Mask R-CNN models based on Convolutional Neural Networks (CNNs) detecting predicting decay areas stored apple fruits....