AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture

J Su, X Zhu, S Li, WH Chen - Neurocomputing, 2023 - Elsevier
Precision Agriculture (PA) promises to boost crop productivity while reducing agricultural
costs and environmental footprints, and therefore is attracting ever-increasing interests in …

Application of smart techniques, internet of things and data mining for resource use efficient and sustainable crop production

A Ali, T Hussain, N Tantashutikun, N Hussain… - Agriculture, 2023 - mdpi.com
Technological advancements have led to an increased use of the internet of things (IoT) to
enhance the resource use efficiency, productivity, and cost-effectiveness of agricultural …

A novel apple fruit detection and counting methodology based on deep learning and trunk tracking in modern orchard

F Gao, W Fang, X Sun, Z Wu, G Zhao, G Li, R Li… - … and Electronics in …, 2022 - Elsevier
Accurate count of fruits is important for producers to make adequate decisions in production
management. Although some algorithms based on machine vision have been developed to …

An improved YOLO algorithm for detecting flowers and fruits on strawberry seedlings

Y Bai, J Yu, S Yang, J Ning - Biosystems Engineering, 2024 - Elsevier
Accurately identifying the flowers and fruits of strawberry seedlings in the greenhouse is the
key to automated flower and fruit thinning, which can improve efficiency and reduce labour …

[HTML][HTML] Fruit sizing using AI: A review of methods and challenges

JC Miranda, J Gené-Mola, M Zude-Sasse… - Postharvest Biology and …, 2023 - Elsevier
Fruit size at harvest is an economically important variable for high-quality table fruit
production in orchards and vineyards. In addition, knowing the number and size of the fruit …

Apple orchard production estimation using deep learning strategies: A comparison of tracking-by-detection algorithms

J Villacrés, M Viscaino, J Delpiano… - … and Electronics in …, 2023 - Elsevier
The automated detection and counting of fruit in tree canopies is a key component of yield
estimation systems, which are indispensable for the precision management of modern …

Unoccupied aerial systems imagery for phenoty** in cotton, maize, soybean, and wheat breeding

AW Herr, A Adak, ME Carroll, D Elango, S Kar… - Crop …, 2023 - Wiley Online Library
High‐throughput phenoty** (HTP) with unoccupied aerial systems (UAS), consisting of
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …

Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks

M Momeny, A Jahanbakhshi, AA Neshat… - Ecological …, 2022 - Elsevier
Fruit infected by pests or diseases and fruit harvests with different levels of ripeness cause a
lack of marketability, decrease in economic value, and increase in crop waste. In this study …

Deep-learning-based counting methods, datasets, and applications in agriculture: A review

G Farjon, L Huijun, Y Edan - Precision Agriculture, 2023 - Springer
The number of objects is considered an important factor in a variety of tasks in the
agricultural domain. Automated counting can improve farmers' decisions regarding yield …

Predicting individual apple tree yield using UAV multi-source remote sensing data and ensemble learning

R Chen, C Zhang, B Xu, Y Zhu, F Zhao, S Han… - … and Electronics in …, 2022 - Elsevier
As one of the world's most popular fruit, apple tree yield prediction before harvest plays an
important role in optimizing orchard nutrition management, especially at the individual tree …