Deep learning based improved classification system for designing tomato harvesting robot

L Zhang, J Jia, G Gui, X Hao, W Gao, M Wang - IEEE Access, 2018 - ieeexplore.ieee.org
Maturity level-based classification system plays an essential role in the design of tomato
harvesting robot. Traditional knowledge-based systems are unable to meet the current …

Tomato maturity classification based on SE-YOLOv3-MobileNetV1 network under nature greenhouse environment

F Su, Y Zhao, G Wang, P Liu, Y Yan, L Zu - Agronomy, 2022 - mdpi.com
The maturity level of tomato is a key factor of tomato picking, which directly determines the
transportation distance, storage time, and market freshness of postharvest tomato. In view of …

[PDF][PDF] Agricultural harvesting using integrated robot system

V Raja, B Bhaskaran, K Nagaraj… - Indones. J. Electr. Eng …, 2022 - academia.edu
In today's competitive world, robot designs are developed to simplify and improve quality
wherever necessary. The rise in technology and modernization has led people from the …

[PDF][PDF] Analysis and detection of tomatoes quality using machine learning algorithm and image processing

H Zuo - … Journal of Advanced Computer Science and …, 2022 - pdfs.semanticscholar.org
Grading of agricultural products methods based on artificial intelligence is more important.
Because these methods have the ability to learn and thus increase the flexibility of the …

[PDF][PDF] An Automated Tomato Maturity Grading System Using Transfer Learning Based AlexNet.

P Das, JKPS Yadav, AK Yadav - Ingénierie des Systèmes d Inf., 2021 - academia.edu
Accepted: 23 December 2020 Tomato maturity classification is the process that classifies the
tomatoes based on their maturity by its life cycle. It is green in color when it starts to grow; at …

Experimental Study on Electric Harvesting of Combine Harvester

Z Yang, H Wang, H Sun, P Wang… - Journal of Physics …, 2022 - iopscience.iop.org
The electrification and intelligent transformation of harvester to make it have independent
operation ability is an important embodiment of the development trend of agricultural …

A comparative study of convolutional neural networks for plant phenology recognition

S Gaba, S Nagpal, A Aggarwal - Advanced Sensing in Image …, 2022 - taylorfrancis.com
Crop growing is vital for the continuing survival of humans, as they are directly dependent on
agriculture for the production of food. The rise in population increases the demand for food …

Electrical Modification and Experimental Study of Combine Harvester Reaping Unit

P Wang, M Tian, H Wang, W Jiang… - IOP Conference Series …, 2020 - iopscience.iop.org
In order to deal with the gradual shortage of labour force in the aging society, it is necessary
to make intelligent and unmanned improvements to mechanical equipment such as combine …

Development of an Automated System for Tomato Harvesting and Pest Detection

S Elango, A Srinigha, GP Vigashini… - … Devices, Circuits and …, 2021 - Springer
Digital farming is a viable solution for the current challenges faced in the agricultural
industry. Tomato is one of the most important crops in agriculture. The production of this crop …

[PDF][PDF] Harvesting and Planting Robots for Agriculture

Y Bhomia, P Kumari - ijcnwc.com
The agriculture industry is at the forefront of technical innovation, seeking long-term
solutions to meet rising food production demands in the face of population expansion and …