Enhancing traceability of wheat quality through the supply chain

M Nadimi, E Hawley, J Liu, K Hildebrand… - … Reviews in Food …, 2023 - Wiley Online Library
With the growing global population, the need for food is expected to grow tremendously in
the next few decades. One of the key tools to address such growing food demand is …

[HTML][HTML] Comparison of the energy and exergy parameters in cantaloupe (Cucurbita maxima) drying using hot air

S Zadhossein, Y Abbaspour-Gilandeh, M Kaveh… - Smart Agricultural …, 2023 - Elsevier
Drying is one of the common techniques for preserving agri-food product quality. However,
for each product, the appropriate drying parameters should be identified to optimize drying …

Advancement and Innovations in Drying of Biopharmaceuticals, Nutraceuticals, and Functional Foods

RP Ramachandran, M Nadimi, S Cenkowski… - Food Engineering …, 2024 - Springer
Drying is a crucial unit operation within the functional foods and biopharmaceutical
industries, acting as a fundamental preservation technique and a mechanism to maintain …

A two-stage deep-learning model for detection and occlusion-based classification of kashmiri orchard apples for robotic harvesting

D Rathore, LG Divyanth, KLS Reddy, Y Chawla… - Journal of Biosystems …, 2023 - Springer
Purpose The process of robotic harvesting has revolutionized the agricultural industry,
allowing for more efficient and cost-effective fruit picking. Developing algorithms for accurate …

Navigating Unstructured Space: Deep Action Learning-Based Obstacle Avoidance System for Indoor Automated Guided Vehicles

A Aryanti, MS Wang, M Muslikhin - Electronics, 2024 - mdpi.com
Automated guided vehicles (AGVs) have become prevalent over the last decade. However,
numerous challenges remain, including path planning, security, and the capacity to operate …

DomAda-FruitDet: Domain-Adaptive Anchor-Free Fruit Detection Model for Auto Labeling

W Zhang, C Zheng, C Wang, W Guo - Plant Phenomics, 2024 - spj.science.org
Recently, deep learning-based fruit detection applications have been widely used in the
modern fruit industry; however, the training data labeling process remains a time-consuming …

Barrier-free tomato fruit selection and location based on optimized semantic segmentation and obstacle perception algorithm

L Zhou, A Hu, Y Cheng, W Zhang, B Zhang… - Frontiers in Plant …, 2024 - frontiersin.org
With the advancement of computer vision technology, vision-based target perception has
emerged as a predominant approach for harvesting robots to identify and locate fruits …

[HTML][HTML] Estimating depth from RGB images using deep-learning for robotic applications in apple orchards

LG Divyanth, D Rathore, P Senthilkumar… - Smart Agricultural …, 2023 - Elsevier
Vision-enabled robotic approaches for apple orchard management have been widely
studied in recent years. It is essential for the vision-system to capture the depth information …

Vision-based robotic grasping using faster R-CNN–GRCNN dual-layer detection mechanism

J Duan, L Zhuang, Q Zhang, J Qin… - Proceedings of the …, 2024 - journals.sagepub.com
Visual grasping technology plays a crucial role in various robotic applications, such as
industrial automation, warehousing, and logistics. However, current visual grasping methods …

Intelligent Machining Systems for Robotic End-Effectors: State-of-the-Art and Toward Future Directions

AN Abd. Ghafar, D Babu, MHM Sidik, MH Rosle… - … & Materials Forum, 2023 - Springer
This review paper delves into the advancements brought about by Industry 4.0 in the realm
of intelligent machining systems for robotic end-effectors. Robotic end-effectors, which are …