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Animal behavior analysis plays a crucial role in understanding animal welfare, health status, and productivity in agricultural settings. However, traditional manual observation methods are time-consuming, subjective, and limited in…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Haiyu Yang , Enhong Liu , Jennifer Sun , Sumit Sharma , Meike van Leerdam , Sebastien Franceschini , Puchun Niu , Miel Hostens

Agriculture faces a growing challenge with wildlife wreaking havoc on crops, threatening sustainability. The project employs advanced object detection, the system utilizes the Mobile Net SSD model for real-time animal classification. The…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Balaji VS , Mahi AR , Anirudh Ganapathy PS , Manju M

Disease and pest control largely rely on pesticides use and progress still remains to be made towards more sustainable practices. Pest Monitoring Networks (PMNs) can provide useful information for improving crop protection by restricting…

Populations and Evolution · Quantitative Biology 2020-02-05 Marie-Josée Cros , Jean-Noël Aubertot , Sabrina Gaba , Xavier Reboud , Régis Sabbadin , Nathalie Peyrard

Global food production depends upon successful pollination, a process that relies on natural and managed pollinators. However, natural pollinators are declining due to factors such as climate change, habitat loss, and pesticide use. This…

Effective pollination is a key challenge for indoor farming, since bees struggle to navigate without the sun. While a variety of robotic system solutions have been proposed, it remains difficult to autonomously check that a flower has been…

Robotics · Computer Science 2024-09-20 Chuizheng Kong , Alex Qiu , Idris Wibowo , Marvin Ren , Aishik Dhori , Kai-Shu Ling , Ai-Ping Hu , Shreyas Kousik

Livestock feeding behaviour is an influential research area for those involved in animal husbandry and agriculture. In recent years, there has been a growing interest in automated systems for monitoring the behaviour of ruminants. Despite…

Insect monitoring is critical to improve our understanding and ability to preserve and restore biodiversity, sustainably produce crops, and reduce vectors of human and livestock disease. However, conventional monitoring methods of trapping…

In light of growing challenges in agriculture with ever growing food demand across the world, efficient crop management techniques are necessary to increase crop yield. Precision agriculture techniques allow the stakeholders to make…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Akshay L Chandra , Sai Vikas Desai , Wei Guo , Vineeth N Balasubramanian

Global biodiversity is declining at an unprecedented rate, yet little information is known about most species and how their populations are changing. Indeed, some 90% of Earth's species are estimated to be completely unknown. Machine…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Yuyan Chen , Nico Lang , B. Christian Schmidt , Aditya Jain , Yves Basset , Sara Beery , Maxim Larrivée , David Rolnick

Preserving the number and diversity of insects is one of our society's most important goals in the area of environmental sustainability. A prerequisite for this is a systematic and up-scaled monitoring in order to detect correlations and…

Computer Vision and Pattern Recognition · Computer Science 2024-04-29 Danja Brandt , Martin Tschaikner , Teodor Chiaburu , Henning Schmidt , Ilona Schrimpf , Alexandra Stadel , Ingeborg E. Beckers , Frank Haußer

Insect production for food and feed presents a promising supplement to ensure food safety and address the adverse impacts of agriculture on climate and environment in the future. However, optimisation is required for insect production to…

Computer Vision and Pattern Recognition · Computer Science 2024-06-27 Min Ren , Yunlong Wang , Yuhao Zhu , Yongzhen Huang , Zhenan Sun , Qi Li , Tieniu Tan

Pollinator insects such as honeybees and bumblebees are vital to global food production and ecosystem stability, yet their populations are declining due to anthropogenic and environmental stressors. Scalable, automated monitoring in…

Computer Vision and Pattern Recognition · Computer Science 2025-09-10 Ahmed Emam , Mohamed Elbassiouny , Julius Miller , Patrick Donworth , Sabine Seidel , Ribana Roscher

Technology-driven precision livestock farming (PLF) empowers practitioners to monitor and analyze animal growth and health conditions for improved productivity and welfare. Computer vision (CV) is indispensable in PLF by using cameras and…

Computer Vision and Pattern Recognition · Computer Science 2024-06-18 Anil Bhujel , Yibin Wang , Yuzhen Lu , Daniel Morris , Mukesh Dangol

Cultivation and weeding are two of the primary tasks performed by farmers today. A recent challenge for weeding is the desire to reduce herbicide and pesticide treatments while maintaining crop quality and quantity. In this paper, we…

Robotics · Computer Science 2024-12-04 Alireza Ahmadi , Michael Halstead , Chris McCool

The protection of crops from pests is relevant for any cultivated crop. But modern methods of pest control by pesticides carry many dangers for humans. Therefore, research into the development of safe and effective pest control methods is…

Computer Vision and Pattern Recognition · Computer Science 2021-05-10 Rakhmatulin Ildar

Insect production for food and feed presents a promising supplement to ensure food safety and address the adverse impacts of agriculture on climate and environment in the future. However, optimisation is required for insect production to…

In farming systems, harvesting operations are tedious, time- and resource-consuming tasks. Based on this, deploying a fleet of autonomous robots to work alongside farmworkers may provide vast productivity and logistics benefits. Then, an…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 Abhishesh Pal , Antonio C. Leite , Jon G. O. Gjevestad , Pål J. From

Reducing the use of agrochemicals is an important component towards sustainable agriculture. Robots that can perform targeted weed control offer the potential to contribute to this goal, for example, through specialized weeding actions such…

Computer Vision and Pattern Recognition · Computer Science 2018-06-12 Philipp Lottes , Jens Behley , Andres Milioto , Cyrill Stachniss

Precision farming is one way of many to meet a 70 percent increase in global demand for agricultural products on current agricultural land by 2050 at reduced need of fertilizers and efficient use of water resources. The catalyst for the…

Signal Processing · Electrical Eng. & Systems 2020-07-13 Alexander Kocian , Luca Incrocci

Bird strikes present a huge risk for aircraft, especially since traditional airport bird surveillance is mainly dependent on inefficient human observation. Computer vision based technology has been proposed to automatically detect birds,…

Computer Vision and Pattern Recognition · Computer Science 2016-01-19 Ying Huang , Hong Zheng , Haibin Ling , Erik Blasch , Hao Yang