Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review

MA Istiak, MMM Syeed, MS Hossain, MF Uddin… - Ecological …, 2023 - Elsevier
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

Using computer vision and machine learning based methods for plant monitoring in agriculture: A systematic literature review

A Kempelis, A Romanovs… - 2022 63rd International …, 2022 - ieeexplore.ieee.org
Within food production in agriculture, different sensor networks are used to manage and
monitor different processes, ranging from the presence of certain plant nutrients in soil to the …

A novel vision-based weakly supervised framework for autonomous yield estimation in agricultural applications

E Bellocchio, F Crocetti, G Costante… - … Applications of Artificial …, 2022 - Elsevier
Autonomous systems have been established as a ground-breaking technology in
agriculture, particularly for resource optimization and labor savings. However, even those …

A novel visual transformer for long-distance pipeline pattern recognition in complex environment

C Zhu, Y Pu, K Yang, Q Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The effective warning of dangerous events along long-distance pipelines is critical to ensure
the safety of oil and gas transportation. Distributed optical fiber sensing (DOFS) technology …

An ensemble transfer learning for nutrient deficiency identification and yield-loss prediction in crop

K Venkatesh, KJ Naik - Multimedia Tools and Applications, 2024 - Springer
Nutrient deficiency identification in plants is crucial for precision agriculture. Over the past
decade, the application of digital imagery and deep learning has been utilized to tackle …

AgRegNet: A deep regression network for flower and fruit density estimation, localization, and counting in orchards

U Bhattarai, S Bhusal, Q Zhang, M Karkee - Computers and Electronics in …, 2024 - Elsevier
One of the major challenges for the agricultural industry today is the uncertainty in manual
labor availability and the associated cost. Automated flower and fruit density estimation …

GranoScan: an AI-powered mobile app for in-field identification of biotic threats of wheat

R Dainelli, A Bruno, M Martinelli, D Moroni… - Frontiers in Plant …, 2024 - frontiersin.org
Capitalizing on the widespread adoption of smartphones among farmers and the application
of artificial intelligence in computer vision, a variety of mobile applications have recently …

Design, fabrication and evaluation of a robot for plant nutrient monitoring in greenhouse (case study: Iron nutrient in spinach)

M Nadafzadeh, A Banakar, SA Mehdizadeh… - … and Electronics in …, 2024 - Elsevier
The regulation of nutrients intake in plant life is a critical factor in preserving the quality of
crops, enhancing yield rates, and minimizing the fertilizer consumption. Consequently, this …

Low-cost and precise traditional Chinese medicinal tree pest and disease monitoring using UAV RGB image only

H Guo, Y Cheng, J Liu, Z Wang - Scientific Reports, 2024 - nature.com
Accurate and timely pest and disease monitoring during the cultivation process of traditional
Chinese medicinal materials is crucial for ensuring optimal growth, increased yield, and …

[PDF][PDF] Computer Vision Based Machine Learning and Deep Learning Approaches for Identification of Nutrient Deficiency in Crops: A Survey.

M Sudhakar, RM Priya - Nature Environment & Pollution …, 2023 - neptjournal.com
Agriculture is a significant industry that plays a major role in a country's sustainable
environment and economic development. The global population demands increased food …