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[HTML][HTML] A review of unmanned aerial vehicle based remote sensing and machine learning for cotton crop growth monitoring
Cotton is one of the world's most economically significant crops. Evaluating and monitoring
cotton crop growth play vital roles in precision agriculture. Unmanned aerial vehicle (UAV) …
cotton crop growth play vital roles in precision agriculture. Unmanned aerial vehicle (UAV) …
PAMICRM: Improving precision agriculture through multimodal image analysis for crop water requirement estimation using multidomain remote sensing data samples
The growing necessity for sustainable agriculture in the face of escalating global food
demands and climate change underscores the importance of optimizing crop water usage …
demands and climate change underscores the importance of optimizing crop water usage …
PlantBiCNet: A new paradigm in plant science with bi-directional cascade neural network for detection and counting
Deep learning is increasingly popular for precise plant detection and counting in computer
vision applications. Despite the rising cross-disciplinary research in this field, an important …
vision applications. Despite the rising cross-disciplinary research in this field, an important …
Accurate and fast implementation of soybean pod counting and localization from high-resolution image
Introduction Soybean pod count is one of the crucial indicators of soybean yield.
Nevertheless, due to the challenges associated with counting pods, such as crowded and …
Nevertheless, due to the challenges associated with counting pods, such as crowded and …
Rice counting and localization in unmanned aerial vehicle imagery using enhanced feature fusion
M Yao, W Li, L Chen, H Zou, R Zhang, Z Qiu, S Yang… - Agronomy, 2024 - mdpi.com
In rice cultivation and breeding, obtaining accurate information on the quantity and spatial
distribution of rice plants is crucial. However, traditional field sampling methods can only …
distribution of rice plants is crucial. However, traditional field sampling methods can only …
Research on improved YOLOv8n based potato seedling detection in UAV remote sensing images
Introduction Accurate detection of potato seedlings is crucial for obtaining information on
potato seedlings and ultimately increasing potato yield. This study aims to enhance the …
potato seedlings and ultimately increasing potato yield. This study aims to enhance the …
Fusing global and local information network for tassel detection in UAV imagery
Unmanned aerial vehicles (UAVs), equipped with sensors, have made a significant impact
in the field of agricultural analysis. Maize, being one of the most vital crops worldwide, is …
in the field of agricultural analysis. Maize, being one of the most vital crops worldwide, is …
AgroCounters—A repository for counting objects in images in the agricultural domain by using deep-learning algorithms: Framework and evaluation
AgroCounters is an open-source repository for counting objects in images in the agricultural
domain by utilizing deep-learning algorithms. In this paper, we present the framework of …
domain by utilizing deep-learning algorithms. In this paper, we present the framework of …
AViTRoN: advanced vision track routing and navigation for autonomous charging of electric vehicles
The ascent of electric vehicle (EV) technology as a leading solution for green transportation
is accompanied by advancements in charging infrastructure and automation. A notable …
is accompanied by advancements in charging infrastructure and automation. A notable …
Vision foundation model for agricultural applications with efficient layer aggregation network
Agricultural production is transitioning from traditional tools to IoT-connected automation
devices. The integration of computer vision and agricultural automation is becoming closer …
devices. The integration of computer vision and agricultural automation is becoming closer …