Deep learning based computer vision approaches for smart agricultural applications
Indian Council of Agricultural Research · Central Institute of Agricultural Engineering · +3 more institutions
Abstract
The agriculture industry is undergoing a rapid digital transformation and is growing powerful by the pillars of cutting-edge approaches like artificial intelligence and allied technologies. At the core of artificial intelligence, deep learning-based computer vision enables various agriculture activities to be performed automatically with utmost precision enabling smart agriculture into reality. Computer vision techniques, in conjunction with high-quality image acquisition using remote cameras, enable non-contact and efficient technology-driven solutions in agriculture. This review contributes to providing state-of-the-art computer vision technologies based on deep learning that can assist farmers in operations…
Citation impact
- FWCI
- 53.12
- Percentile
- 100%
- References
- 233
Authors
7- VGV. G. DhanyaCorresponding
Indian Council of Agricultural Research
- ASA. SubeeshCorresponding
Central Institute of Agricultural Engineering
- NLNand Lal Kushwaha
Indian Agricultural Research Institute
- DKDinesh Kumar Vishwakarma
Govind Ballabh Pant University of Agriculture and Technology
- TNT. Nagesh Kumar
National Institute of Research on Jute and Allied Fibre Technology
Topics & keywords
- Computer science
- Deep learning
- Artificial intelligence
- Precision agriculture
- Convolutional neural network
- Machine vision
- Agriculture
- Data science
- Zero hunger