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相关论文: Detecting Volunteer Cotton Plants in a Corn Field …

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To control boll weevil (Anthonomus grandis L.) pest re-infestation in cotton fields, the current practices of volunteer cotton (VC) (Gossypium hirsutum L.) plant detection in fields of rotation crops like corn (Zea mays L.) and sorghum…

The boll weevil (Anthonomus grandis L.) is a serious pest that primarily feeds on cotton plants. In places like Lower Rio Grande Valley of Texas, due to sub-tropical climatic conditions, cotton plants can grow year-round and therefore the…

Plastic shopping bags that get carried away from the side of roads and tangled on cotton plants can end up at cotton gins if not removed before the harvest. Such bags may not only cause problem in the ginning process but might also get…

Soybean and cotton are major drivers of many countries' agricultural sectors, offering substantial economic returns but also facing persistent challenges from volunteer plants and weeds that hamper sustainable management. Effectively…

计算机视觉与模式识别 · 计算机科学 2026-04-22 Thiago H. Segreto , Juliano Negri , Paulo H. Polegato , João Manoel Herrera Pinheiro , Ricardo V. Godoy , Marcelo Becker

Sweetpotato weevils (Cylas spp.) are considered among the most destructive pests impacting sweetpotato production, particularly in sub-Saharan Africa. Traditional methods for assessing weevil damage, predominantly relying on manual scoring,…

Helicoverpa Armigera, or cotton bollworm, is a serious insect pest of cotton crops that threatens the yield and the quality of lint. The timely knowledge of the presence of the insects in the field is crucial for effective farm…

机器学习 · 计算机科学 2022-05-17 Ornela Nanushi , Vasileios Sitokonstantinou , Ilias Tsoumas , Charalampos Kontoes

In precision crop protection, (target-orientated) object detection in image processing can help navigate Unmanned Aerial Vehicles (UAV, crop protection drones) to the right place to apply the pesticide. Unnecessary application of non-target…

计算机视觉与模式识别 · 计算机科学 2021-03-09 Zhenwang Qin , Wensheng Wang , Karl-Heinz Dammer , Leifeng Guo , Zhen Cao

Cotton is one of the most important natural fiber crops worldwide, yet harvesting remains limited by labor-intensive manual picking, low efficiency, and yield losses from missing the optimal harvest window. Accurate recognition of cotton…

计算机视觉与模式识别 · 计算机科学 2025-09-17 Rui-Feng Wang , Mingrui Xu , Matthew C Bauer , Iago Beffart Schardong , Xiaowen Ma , Kangning Cui

Cotton is a major cash crop in the United States, with the country being a leading global producer and exporter. Nearly all U.S. cotton is grown in the Cotton Belt, spanning 17 states in the southern region. Harvesting remains a critical…

Efficient crop production requires early detection of pest outbreaks and timely treatments; we consider a solution based on a fleet of multiple autonomous miniaturized unmanned aerial vehicles (nano-UAVs) to visually detect pests and a…

机器人学 · 计算机科学 2025-02-21 Luca Crupi , Luca Butera , Alberto Ferrante , Alessandro Giusti , Daniele Palossi

This study presents a deep learning-based optimization of YOLOv11 for cotton disease detection, developing an intelligent monitoring system. Three key challenges are addressed: (1) low precision in early spot detection (35% leakage rate for…

计算机视觉与模式识别 · 计算机科学 2025-08-20 Kaiyuan Wang , Jixing Liu , Xiaobo Cai

Lodging, the permanent bending over of food crops, leads to poor plant growth and development. Consequently, lodging results in reduced crop quality, lowers crop yield, and makes harvesting difficult. Plant breeders routinely evaluate…

The codling moth pest poses a significant threat to global crop production, with potential losses of up to 80% in apple orchards. Special camera-based sensor nodes are deployed in the field to record and transmit images of trapped insects…

图像与视频处理 · 电气工程与系统科学 2024-08-30 Luca Bompani , Luca Crupi , Daniele Palossi , Olmo Baldoni , Davide Brunelli , Francesco Conti , Manuele Rusci , Luca Benini

Severe weather events can cause large financial losses to farmers. Detailed information on the location and severity of damage will assist farmers, insurance companies, and disaster response agencies in making wise post-damage decisions.…

计算机视觉与模式识别 · 计算机科学 2020-04-23 Ali HamidiSepehr , Seyed Vahid Mirnezami , Jason K. Ward

Animal welfare has become a critical issue in contemporary society, emphasizing our ethical responsibilities toward animals, particularly within livestock farming. The advent of Artificial Intelligence (AI) technologies, specifically…

计算机视觉与模式识别 · 计算机科学 2025-01-10 Voncarlos M. Araújo , Ines Rili , Thomas Gisiger , Sebastien Gambs , Elsa Vasseur , Marjorie Cellier , Abdoulaye Baniré Diallo

The use of unmanned aerial vehicles (UAV) is revolutionizing the agricultural industry. Cashews are grown by approximately 70% of small and marginal farmers, and the cashew industry plays a critical role in their economic development. To…

图像与视频处理 · 电气工程与系统科学 2023-03-16 Manoj Kumar Rajagopal , Bala Murugan MS

Uniform and excessive herbicide application in modern agriculture contributes to increased input costs, environmental pollution, and the emergence of herbicide resistant weeds. To address these challenges, we developed a vision guided,…

Mosquitoes are known vectors for disease transmission that cause over one million deaths globally each year. The majority of natural mosquito habitats are areas containing standing water that are challenging to detect using conventional…

计算机视觉与模式识别 · 计算机科学 2022-03-15 Sriram Elango , Nandini Ramachandran , Russanne Low

Weeds are a major threat to crops and are responsible for reducing crop yield worldwide. To mitigate their negative effect, it is advantageous to accurately identify them early in the season to prevent their spread throughout the field.…

计算机视觉与模式识别 · 计算机科学 2022-04-04 Varun Aggarwal , Aanis Ahmad , Aaron Etienne , Dharmendra Saraswat

In modern agriculture, usually weeds control consists in spraying herbicides all over the agricultural field. This practice involves significant waste and cost of herbicide for farmers and environmental pollution. One way to reduce the cost…

计算机视觉与模式识别 · 计算机科学 2018-06-01 M. Dian. Bah , Adel Hafiane , Raphael Canals
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