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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Insect recognition based" (30 stories)

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Machine Vision–Based Insect Recognition in Agriculture: A Comprehensive Review
Lead StoryWiley Online Librarygeneral
Mar 30

Machine Vision–Based Insect Recognition in Agriculture: A Comprehensive Review

<a href="https://news.google.com/rss/articles/CBMia0FVX3lxTE9DVUxNZjdtcEdyUjBfaWpnekZzX1BoSWJmU0pUcDByY2dHM0xlZEdPRW1CMzdmV3hJMVY5RV9qVU91dnZzVTNWSTNmUjNhNkhoX3VzejUzeG9HRi1scS1oSk1TM3NuUFBXcmJV?oc=5" target="_blank">Machine Vision–Based Insect Recognition in Agriculture: A Comprehensive Review</a>  <font color="#6f6f6f">Wiley Online Library</font>

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Search Results for "Insect recognition based"

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29 stories displayed
Large scale multi-class pest image classification using structurally adapted DenseNet architecture
Naturegeneral

Large scale multi-class pest image classification using structurally adapted DenseNet architecture

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBFeld3THkwTkxhbDgzd2xHSFJhS01ZVEI1Z3N1SnozbEZoR01JUnpVQkVvU3lXb2hvS3V2WkZHZE9EX2Vkc3VPMEtyZVNQZEV3T2NzWXA1eWR5LWhOUW84?oc=5" target="_blank">Large scale multi-class pest image classification using structurally adapted DenseNet architecture</a>  <font color="#6f6f6f">Nature</font>

Cont-Transformer: enhancing image recognition for orchard fruit-boring pest monitoring with contrastive learning
Frontiersgeneral

Cont-Transformer: enhancing image recognition for orchard fruit-boring pest monitoring with contrastive learning

<a href="https://news.google.com/rss/articles/CBMijwFBVV95cUxPb3BfanlhRVFSWHJJT3dOdUhlX1NXcjhNV29zRXBCU1Zib2VJUkxrcWxXUF9rWXdULTFPbzBCcjIxdi05S0pvQXZ0eWJsVWlTaUxPUUtKWERvLVRzV2twZ0lkamN6X0NKS002VUdKeTBpbmV0M3VnMVFNQmpjOTMzRzJYcGIxNDhfTWxvR3pHYw?oc=5" target="_blank">Cont-Transformer: enhancing image recognition for orchard fruit-boring pest monitoring with contrastive learning</a>  <font color="#6f6f6f">Frontiers</font>

Iowa State’s Pest-ID team, global researchers, work to build an app to help farmers
Iowa State Universitygeneral

Iowa State’s Pest-ID team, global researchers, work to build an app to help farmers

<a href="https://news.google.com/rss/articles/CBMiqAFBVV95cUxQNmxjSUFkSFdqb1d1Wms0d2kzbWpvenF1OFMwUWoxWVhmY0g0elNZcWdGV0xzT2g2MEJUTVBjZUdUWFoyaklub1IyYkhrOGVyYVdtcTlYZFN2T2NGdVh1b1FIVmtWYnJmaWlFY21kQk0yUm94azg3b010TFVyOEktTlVUb2FwTGQ1dnZvei0ydUVnRTdjMnczOUdob0Z4cG9GVnBNMWhyUkI?oc=5" target="_blank">Iowa State’s Pest-ID team, global researchers, work to build an app to help farmers</a>  <font color="#6f6f6f">Iowa State University</font>

Ask a Master Gardener
UC Agriculture and Natural Resourcesgeneral

Ask a Master Gardener

<a href="https://news.google.com/rss/articles/CBMickFVX3lxTE1fQy00TFhxRUJDMlFJR04tQzRaeHRNMERrVzhqaVFwOGpGMFY5NGYtRWgxWW5rYVY4Vm9Vd0lrZTJucEJ1QmdnTUhYbkJjSnFQR3U1ZHM2UTdTdDBNeHg0dUE3WUlkazNkcHlWSGFDLU96UQ?oc=5" target="_blank">Ask a Master Gardener</a>  <font color="#6f6f6f">UC Agriculture and Natural Resources</font>

AI-powered terrain recognition helps cyborg cockroaches navigate faster
Tech Xploretech

AI-powered terrain recognition helps cyborg cockroaches navigate faster

<a href="https://news.google.com/rss/articles/CBMihAFBVV95cUxPMGEwTjNsb2RJMGFRaE0wRmY1bmFVNk5aZ1I5UVYxcEllTjRFZlJCVWt3d0lNcVl5SXh2Y3RXRVNBTHFJdTNQM18zcE5ncnBNMnNpTmFfX2Zmem8walphcmhnN3h4eXZUaHpocXZBTjFnalRyQy1IUFNLZlprNnRuQnRNbkM?oc=5" target="_blank">AI-powered terrain recognition helps cyborg cockroaches navigate faster</a>  <font color="#6f6f6f">Tech Xplore</font>

Insect recognition based on complementary features from multiple views
Naturegeneral

Insect recognition based on complementary features from multiple views

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBVa28tWHBCOUZTbjdIRlRNeV9vQlRydGhFRjI0RlNrOUxxSTM2U3Q0MW1GR0Z1ZUtCS1RjYTFBdk1vTWFmVTJLTTJWemN0N3BPUXVULUdfejBOTm1jSEdz?oc=5" target="_blank">Insect recognition based on complementary features from multiple views</a>  <font color="#6f6f6f">Nature</font>

Paddy pest image segmentation based on multiscale attention fusion VM-UNet
Frontiersworld

Paddy pest image segmentation based on multiscale attention fusion VM-UNet

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxPOThwYjlDNzR6cVNvTUZGS2xvanhMbV9yelVfMUF4TllMUHhxejFwazJmZGl1MjJaaE1Pc0xBMzZ3UXF6c09TNWs4LXJIRlBaNUV0NTRfYVlCWEdTQTNkNnpsLWlndWh3Q1BBdVdPNUNueC1mTjBQVWw5SXNoY1g2bHE0eVpPTFExekE1LUVjSEllUFha?oc=5" target="_blank">Paddy pest image segmentation based on multiscale attention fusion VM-UNet</a>  <font color="#6f6f6f">Frontiers</font>

Integrating feature selection and explainable CNN for identification and classification of pests and beneficial insects
Naturetech

Integrating feature selection and explainable CNN for identification and classification of pests and beneficial insects

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1zcEZkdkItenppellxQjRqN2w3cjVTNEZscHlscU9QdUZDYzhyRHNPSkd1YndzMkhjd2tJYlk3S2pPUTJQUWxLb19fT0RqQWxIcFY1ZEpZVTE3NlZrUV9z?oc=5" target="_blank">Integrating feature selection and explainable CNN for identification and classification of pests and beneficial insects</a>  <font color="#6f6f6f">Nature</font>

From a vision of AI in plant science to the reality of Pest-ID in global agriculture
Iowa State Universitytech

From a vision of AI in plant science to the reality of Pest-ID in global agriculture

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxQenBCY2FXd0d3bUp6a1k2R0VSQnRjdWVLLV9zU3lFMVBTVHJCbkp6YzVEV2FrM2dqTHNoQ0o4RXZhcHpOdC1aYUFLWW1Ka190X0dIMkhYeFpzVHRhU3d1amMwM3JRbi0wbG1vWTE1WFF1U05kT1ZaVmVBODVjem1hSmNDdjlDS3lJaGJvc1RwaW1fT0NNU2dV?oc=5" target="_blank">From a vision of AI in plant science to the reality of Pest-ID in global agriculture</a>  <font color="#6f6f6f">Iowa State University</font>

Swin Attention Augmented Residual Network: a fine-grained pest image recognition method
Frontierstech

Swin Attention Augmented Residual Network: a fine-grained pest image recognition method

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxNVDFVUlVaeTJyd2poQnVVa0NldTRmZFVWX3IxWXYzSzZrY3g0SmhoYnV4Ynd2SnlUY0thOVRnMHVycG1EUVdvVHZhQTF6QkdZZmhsc1JjNE5NbkhtSWRlWDlZeWk5QlJ1ODVqMVRYclViRGp3djB5RlRBSVdrLXIwYlpzMTFmZmlVN2JiVlhEd1RtX1BH?oc=5" target="_blank">Swin Attention Augmented Residual Network: a fine-grained pest image recognition method</a>  <font color="#6f6f6f">Frontiers</font>

An interpretable crop leaf disease and pest identification model based on prototypical part network and contrastive learning
Naturegeneral

An interpretable crop leaf disease and pest identification model based on prototypical part network and contrastive learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE15LW9xQ1cyeHJ3WTg5ZERyXzBfLWt4dEdhM3BJNHh3c0JNQWdUaHIwd09Eb0NMVlNlYUQwUGdIVnVOSmQtY1lyejB1Q2dkUHJyaTZ2aHE0Tkkwb3hHSWRz?oc=5" target="_blank">An interpretable crop leaf disease and pest identification model based on prototypical part network and contrastive learning</a>  <font color="#6f6f6f">Nature</font>

InsectNet technology identifies insects around the world and around the farm
Iowa State Universitytech

InsectNet technology identifies insects around the world and around the farm

<a href="https://news.google.com/rss/articles/CBMipAFBVV95cUxPSWliYW12eUtPbmNLZldiTVpqc1dBRDkzbTFHOGdtWGdvbzhSWUxxam1mdW9RNHQ5QnZTa2dhZ2JqY3ZoNVBOS0dmazdxUElfR3k4WnUwLXZQWldaeGJrdGdwb1NuZFAyaHJpNjlRTmI5ckZVbDU1OU53SXAxdEJjMUNyMUVsNmROQ0czejhEcGlQNTQxY19TVDQtMG16YzZZR21nUA?oc=5" target="_blank">InsectNet technology identifies insects around the world and around the farm</a>  <font color="#6f6f6f">Iowa State University</font>

Tomato Pest Recognition Algorithm Based on Improved YOLOv4
Frontiersgeneral

Tomato Pest Recognition Algorithm Based on Improved YOLOv4

<a href="https://news.google.com/rss/articles/CBMikwFBVV95cUxPd29paDFlVDBnb1Z0dVZpb1d5TlRzZGlhaXFSQWNpX05vOHM5U2VWSGM5NkR2b2pSWGctTWpkQU0xRDBPU05iX3Z6V3ZkbTE5MlZnTjdzNG1lZHdYbWRHRlBWV2FWRXVMeUpnVHpJZ011SktZaV9xMnp2Y09LbmZsdHhueVVZcl9ub2ppRUhHSk5uOEU?oc=5" target="_blank">Tomato Pest Recognition Algorithm Based on Improved YOLOv4</a>  <font color="#6f6f6f">Frontiers</font>

A fusion transfer learning framework for intelligent pest recognition in sustainable agriculture
Naturetech

A fusion transfer learning framework for intelligent pest recognition in sustainable agriculture

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5Ib2NnVWRmamk0a0hKUzBCa0NMQXpBTENmLXp6UWJhS2R6Z3FuN3I3ak5HWHl1aGstQWRBS0Y0eEJmbEItRnBJbmRMOS1OT0JsVWo4SUNZTVcwb3MwZnJF?oc=5" target="_blank">A fusion transfer learning framework for intelligent pest recognition in sustainable agriculture</a>  <font color="#6f6f6f">Nature</font>

A pest image recognition method for long-tail distribution problem
Frontierstech

A pest image recognition method for long-tail distribution problem

<a href="https://news.google.com/rss/articles/CBMioAFBVV95cUxNMkZubEVHOWs0aFZxdGNUMEVsSHhyWmYwWFJaQmZVaDNzalJiUldxWVdpTU1UTWFRQlhjejNuZDVhWlhmTmhnQjNyYTJRV0FsTllMQ1prVnh6ZGFkZ0RRTERDRWVnejVTV3djNUF4S3o5N0xzNFZQWWVTVlUyQmdPZ3lleGEzWVZHTTlnYVVQQnpUZlBlOFB3cldSS0FiSXl4?oc=5" target="_blank">A pest image recognition method for long-tail distribution problem</a>  <font color="#6f6f6f">Frontiers</font>

InsectSound1000 An insect sound dataset for deep learning based acoustic insect recognition | Scientific Data
Natureworld

InsectSound1000 An insect sound dataset for deep learning based acoustic insect recognition | Scientific Data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9BRlVOLU84QXpVelRyYWowSjF3TUc1ODBhZnFIeDd1ZXBhOEVlMjZJblVyWERNMDNJQlYyakFoS1JOb3YxSmE3X1dZdEUzSkdsaXMweG9xZWlsOV9aLUow?oc=5" target="_blank">InsectSound1000 An insect sound dataset for deep learning based acoustic insect recognition | Scientific Data</a>  <font color="#6f6f6f">Nature</font>

Fine-grained crop pest classification based on multi-scale feature fusion and mixed attention mechanisms
Frontierstech

Fine-grained crop pest classification based on multi-scale feature fusion and mixed attention mechanisms

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxOZEkxcU9mTHdKNms3M0ljQW5zczZDbHUxMHFnWklpemxTN2tweGMyRmVISU92M0gtQ3pPdldJa25ZRE85QkFfaTNlbm9vZEZNejlTUVlDYmNSMS1NOWJEb09WSHRqRHZxalU4LVM3SDRPWmJQM0s1YmZxak1IS1RkZk5VRE5TQU04Y1hzRTY5elNSdXlF?oc=5" target="_blank">Fine-grained crop pest classification based on multi-scale feature fusion and mixed attention mechanisms</a>  <font color="#6f6f6f">Frontiers</font>

Transformer augmented hybrid deep learning for explainable multi class pest classification
Naturetech

Transformer augmented hybrid deep learning for explainable multi class pest classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1oZ01TRl9aa05tZ0Y1alBJR0RjZWNmVDdRZGZxYmt6Z1F2ald3VnJtNVRvNEt4TDh4LVVLNU04RktnbFVldm42NEIzSmU5ZTZqZk9jeFFPbGwwZ09LdmVr?oc=5" target="_blank">Transformer augmented hybrid deep learning for explainable multi class pest classification</a>  <font color="#6f6f6f">Nature</font>

Towards precision agriculture: metaheuristic model compression for enhanced pest recognition
Naturegeneral

Towards precision agriculture: metaheuristic model compression for enhanced pest recognition

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE54OHRyRGNlbzIySzlKSWZPUm9jU184Y3dLVjlfR2gtZ04tUWsybFNjVUFwb0RndlVibG9sX1ZIeVNlVDhsUjBrcDA5eEpnNEhXczhXOHRlblJteHBTaGxn?oc=5" target="_blank">Towards precision agriculture: metaheuristic model compression for enhanced pest recognition</a>  <font color="#6f6f6f">Nature</font>

Multiple model visual feature embedding and selection method for an efficient pest classification supporting precision agriculture | Scientific Reports
Naturepolitics

Multiple model visual feature embedding and selection method for an efficient pest classification supporting precision agriculture | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9SdldiOXZxbDVESkh2ZlFKVnFYUXJjaUhGTUtvcUlqTHIyVEsybmZSMUpMTWRuWjdnTWxDVmdHdXg1QnY3OW9PaHIySFM4SnV6ajNjNEpRV2NWVVVqQVZB?oc=5" target="_blank">Multiple model visual feature embedding and selection method for an efficient pest classification supporting precision agriculture | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

Deep learning based agricultural pest monitoring and classification
Naturegeneral

Deep learning based agricultural pest monitoring and classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBHckxPcjN4M3dnZEdyZ09BRWVIUDJrWUZicFI1dldzNXlUU0FuQ1R0WEJIa3R4TFBhQ2ZGOUllTWVVR0RfblliUEp6NXFTXzlXVHloY1EyZ1ZvczRodHdn?oc=5" target="_blank">Deep learning based agricultural pest monitoring and classification</a>  <font color="#6f6f6f">Nature</font>

Comparative hyperparameter optimization of object detection models for precision monitoring of cucumber beetles and similar insects on yellow sticky cards
Naturegeneral

Comparative hyperparameter optimization of object detection models for precision monitoring of cucumber beetles and similar insects on yellow sticky cards

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5Ldk42eUdfZVUtZzRBMGhnZGstQjk5S2luZzlpUWpPVTJXUlZCUjFKVmFoTmJBcE9kRVhnQnNncjlsSkJyenY0MDY4SWZoa09lU1V2VjBwVDlCWGVhb0Rj?oc=5" target="_blank">Comparative hyperparameter optimization of object detection models for precision monitoring of cucumber beetles and similar insects on yellow sticky cards</a>  <font color="#6f6f6f">Nature</font>

PestRefineDet: integrating DenseNet with RefineDet for precision pest detection in agriculture
Frontiersgeneral

PestRefineDet: integrating DenseNet with RefineDet for precision pest detection in agriculture

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxNVTZTdUR1UHIzdG1Uc20yZkFsNXdIS3VLckU0Snliam5Nd1JVZ2VSN18xWmZmbDZVbTRkeUZlMnhrMzJvdGxxQldNRXlwWUlnNkV2VEhRRFhpWUFuMm5YZEktdVVLRm5zTlFBUnBhbERRR1Q1VGZhZC13OHlqTE1pV1JacGQydkFQRkM4VTdzWkVkRy1X?oc=5" target="_blank">PestRefineDet: integrating DenseNet with RefineDet for precision pest detection in agriculture</a>  <font color="#6f6f6f">Frontiers</font>

A lightweight rice pest detection algorithm based on improved YOLOv8
Naturegeneral

A lightweight rice pest detection algorithm based on improved YOLOv8

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9Sa2Rvd25nRmpJemhvYUFaaEE0QWphN2RERkttWExqV1AwNFh4YVJNM191Z1M2TXFFaVhfdms0Qm5DcF9yU3NFNXI4NTNOQnZVNUxHU1NpSUZZcWJBWmZJ?oc=5" target="_blank">A lightweight rice pest detection algorithm based on improved YOLOv8</a>  <font color="#6f6f6f">Nature</font>

Intelligent Monitoring System of Migratory Pests Based on Searchlight Trap and Machine Vision
Frontiersgeneral

Intelligent Monitoring System of Migratory Pests Based on Searchlight Trap and Machine Vision

<a href="https://news.google.com/rss/articles/CBMikwFBVV95cUxOQkZIWm03d0VpVWNOUW5qQndpV05BR1cxMjkxcmFYOEJuaUZPNlhZcWdFS04yclNKQk9WUW9ua0JGQnBocHRWc2RqVGxNeXFlZDQ1RHhlNkgyTWIwX3RlV0QybThVQ2VsZlkxamJsZU40bFNiVUVMdlY0QWhaLXZuT1h6THd3RWpUWkFJbjZtLUZUS1U?oc=5" target="_blank">Intelligent Monitoring System of Migratory Pests Based on Searchlight Trap and Machine Vision</a>  <font color="#6f6f6f">Frontiers</font>

GNN-ML-FRL: a graph-enhanced meta-adaptive federated learning framework for scalable pest identification and ernvironmental modeling
Naturemarkets

GNN-ML-FRL: a graph-enhanced meta-adaptive federated learning framework for scalable pest identification and ernvironmental modeling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1CMDVrVHZuTUU3RlJEUHV4YXJUaHJMSWpPSzdtdnVUU1phV1dZa2NmZk5jblJ6WmlhR1pHOFIzYVk5MlZJT2R5d1ZXOUtrNkdtMzdDNnVNajhWeG9kSVcw?oc=5" target="_blank">GNN-ML-FRL: a graph-enhanced meta-adaptive federated learning framework for scalable pest identification and ernvironmental modeling</a>  <font color="#6f6f6f">Nature</font>

IoT based intelligent pest management system for precision agriculture
Naturegeneral

IoT based intelligent pest management system for precision agriculture

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE16WkQ1clNyUzAtcjlxRmhiNUZzcVhqWWQ4d3dlOFdNc2w1a3lEc0gxVEdMR2lXZzVCS0pZSWliMHVQM3M2a2FDVHUxWDNiM0dsbGtqMVIySzZZS2pTTFNn?oc=5" target="_blank">IoT based intelligent pest management system for precision agriculture</a>  <font color="#6f6f6f">Nature</font>

Few-shot object detection for pest insects via features aggregation and contrastive learning
Frontiersgeneral

Few-shot object detection for pest insects via features aggregation and contrastive learning

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxPTkZaMmZRc3BhSFVTZU1oV0pRN1ZmRF9OdDV1cVRjeEZVMUU3X3R5NkRzYlBVME1wanl1ejNHYTdtc25oTUNpdV8wZ0VrMzRhUFE0TENkd1FzcTVSRi1LOUk3MmlmcDhMTDdaTDBQN3R0NTBjeC15RzJ5UkVuMkRKS1d3ckEyTjFVWE1KczFoWlduVnFK?oc=5" target="_blank">Few-shot object detection for pest insects via features aggregation and contrastive learning</a>  <font color="#6f6f6f">Frontiers</font>

Causality-inspired method boosts crop pest recognition
Phys.orggeneral

Causality-inspired method boosts crop pest recognition

<a href="https://news.google.com/rss/articles/CBMid0FVX3lxTE5oQUFjTGRxYWJJUDhlNUFPMU0xTXl0UjVFZ0ExWXpmRDFTSjctVWQzT21sYUlya2N2T0hJcnpSUkxGM19Idmg4TU9CTGRLSExfTUJFY2tvRXNSMUZKekpnLXpWdlJlNEdhcUlvcEJrQTJRSXl4N3lj?oc=5" target="_blank">Causality-inspired method boosts crop pest recognition</a>  <font color="#6f6f6f">Phys.org</font>

"Insect recognition based" — Live Google News Trends & Headlines