Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T21:05:57.743099Z
Paper Citation Record · LEDGER
Modern CNNs for IoT Based Farms
As of 22 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:1907.07772.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
61 of 61 outbound references displayed
- verified exact11
- verified fuzzy40
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fcef068a-c06d-445d-a2ff-5a0cc8538c33 · outbound
This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.
Modern CNNs for IoT Based Farms Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T21:06:22.630873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 744b2fb5-46ef-4a0a-81f1-8f9cc576f111 · outbound
This paper cites Research on Quantum Neural Network and its Applications Based on Tanh Activation Function.
Modern CNNs for IoT Based Farms Research on Quantum Neural Network and its Applications Based on Tanh Activation Function
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.271637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 77b13ead-8526-41de-9070-4d6cab1a9bff · outbound
This paper cites an unresolved cited work.
Modern CNNs for IoT Based Farms Unresolved cited work
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 95da5130-a3ef-4b29-a31d-8ca9336bc625 · outbound
This paper cites Food security: the challenge of feeding 9 billion people.
Modern CNNs for IoT Based Farms Food security: the challenge of feeding 9 billion people
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.425288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e300f2d1-2063-490c-a3a9-bd8000720f59 · outbound
This paper cites The coming acceleration of global pop- ulation ageing.
Modern CNNs for IoT Based Farms The coming acceleration of global pop- ulation ageing
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.250636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4b88d45a-6c34-47cd-8c86-6a6969041867 · outbound
This paper cites an unresolved cited work.
Modern CNNs for IoT Based Farms Unresolved cited work
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 35cfd6c8-1966-4b07-8877-4de6a80ddf20 · outbound
This paper cites Using Deep Learning for Image-Based Plant Disease Detection.
Modern CNNs for IoT Based Farms Using Deep Learning for Image-Based Plant Disease Detection
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.436277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9454af20-57d3-41d2-b8aa-15bcd154bf7a · outbound
This paper cites Precision agriculture and food security.
Modern CNNs for IoT Based Farms Precision agriculture and food security
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.242013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c5accb28-ac88-434b-a03f-faf6d785b93a · outbound
This paper cites SmartFarm : Improving Agriculture Sustainability Using Modern Information Technology (2016).
Modern CNNs for IoT Based Farms SmartFarm : Improving Agriculture Sustainability Using Modern Information Technology (2016)
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.263570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 974ef622-6d01-4ca3-aa30-1277061ffaa1 · outbound
This paper cites A review of the use of convolu- tional neural networks in agriculture.
Modern CNNs for IoT Based Farms A review of the use of convolu- tional neural networks in agriculture
Reference 10
- Resolution
- verified exact
- doi, observed 2026-05-24T21:06:22.544127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 20323f5e-580d-43b8-934a-a070d7576532 · outbound
This paper cites an unresolved cited work.
Modern CNNs for IoT Based Farms Unresolved cited work
Reference 11
- Resolution
- verified exact
- doi, observed 2026-05-24T21:06:22.554638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 21a54658-fa70-4e93-8f70-aceeaae696d0 · outbound
This paper cites an unresolved cited work.
Modern CNNs for IoT Based Farms Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T21:06:23.266459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 180d96ae-2f82-42c5-a669-804fd6806452 · outbound
This paper cites an unresolved cited work.
Modern CNNs for IoT Based Farms Unresolved cited work
Reference 13
- Resolution
- verified exact
- doi, observed 2026-05-24T21:06:22.568254Z
Source-reported events for the cited work
retraction dated 2024-03-15. Source: crossref record 10.1007/s10586-024-04433-3->10.1007/s10586-018-2022-5:retraction, observed 2026-07-11T02:53:17.73811+00:00. This notice travels one citation hop only.
retraction . Source: retraction watch record 53852, observed 2026-07-08T21:54:10.26565+00:00. This notice travels one citation hop only.
Observation 11186751-05cd-4adb-9da6-d1ba80c0fa98 · outbound
This paper cites Big data for re- mote sensing: challenges and opportunities.
Modern CNNs for IoT Based Farms Big data for re- mote sensing: challenges and opportunities
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.404301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c851e1ee-0a42-4724-9e61-5555b2e8b319 · outbound
This paper cites Environmental conditions big data management and cloud computing analytics for sustainable agriculture.
Modern CNNs for IoT Based Farms Environmental conditions big data management and cloud computing analytics for sustainable agriculture
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.259950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d4101443-663b-4589-9847-8ef8bb3c5410 · outbound
This paper cites Big Data: A Survey.
Modern CNNs for IoT Based Farms Big Data: A Survey
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.421146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ec18da32-8cad-43fb-9cd3-6d2be5eea4d5 · outbound
This paper cites ImageNet Large Scale Visual Recognition Challenge.
Modern CNNs for IoT Based Farms ImageNet Large Scale Visual Recognition Challenge
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.390998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bf0b6975-6594-47b0-a564-950840b716b5 · outbound
This paper cites an unresolved cited work.
Modern CNNs for IoT Based Farms Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T21:06:23.364128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 19967419-5c9e-4fd3-846a-bfe65c326ca4 · outbound
This paper cites Aspect extraction for opinion mining with a deep convolutional neural network.
Modern CNNs for IoT Based Farms Aspect extraction for opinion mining with a deep convolutional neural network
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.274997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation eea3bace-cc46-4674-8e2e-93ed4f23b0f6 · outbound
This paper cites Deep Learning.
Modern CNNs for IoT Based Farms Deep Learning
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.413242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a63d5f3d-e916-4b5d-b2bf-4d66be6b593d · outbound
This paper cites Applications of Convolu- tional Neural Networks, (2016).
Modern CNNs for IoT Based Farms Applications of Convolu- tional Neural Networks, (2016)
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.379727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6d959331-6360-4a57-b930-cbcde32d915a · outbound
This paper cites Deep learning in neural networks: an overview.
Modern CNNs for IoT Based Farms Deep learning in neural networks: an overview
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.288692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1231cd2e-745b-476b-b939-c68514de9d4e · outbound
This paper cites an unresolved cited work.
Modern CNNs for IoT Based Farms Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T21:06:23.285207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cfd3e472-6551-4f42-ab8f-5f164120317b · outbound
This paper cites an unresolved cited work.
Modern CNNs for IoT Based Farms Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T21:06:23.281857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 331d6fe0-7824-43f0-adda-d1baea93c213 · outbound
This paper cites an unresolved cited work.
Modern CNNs for IoT Based Farms Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T21:06:23.342955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ec57ae5c-0cdb-4111-8f38-3117c5007ccb · outbound
This paper cites an unresolved cited work.
Modern CNNs for IoT Based Farms Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T21:06:23.336555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 22b08453-9a60-4cfc-9b20-7f684a2290a8 · outbound
This paper cites The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches.
Modern CNNs for IoT Based Farms The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Reference 27
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-24T21:06:22.661081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 40095d61-c3b3-40de-b714-1a33d6356abe · outbound
This paper cites Prenafeta-Boldu.
Modern CNNs for IoT Based Farms Prenafeta-Boldu
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.410136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cd012de8-7884-4be6-93dd-6d81878539dc · outbound
This paper cites Automatic Identification of Center Pivot Irrigation Systems from Landsat Images Using Convolutional Neural Net- works.
Modern CNNs for IoT Based Farms Automatic Identification of Center Pivot Irrigation Systems from Landsat Images Using Convolutional Neural Net- works
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.360333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 230bc38d-4d72-4483-970d-35ad80393fa1 · outbound
This paper cites Computers and Electronics in Agriculture.
Modern CNNs for IoT Based Farms Computers and Electronics in Agriculture
Reference 30
- Resolution
- verified exact
- doi, observed 2026-05-24T21:06:22.562018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 58616e4a-9124-45b6-bcf4-5308eb748417 · outbound
This paper cites Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes.
Modern CNNs for IoT Based Farms Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.440927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f04d5cf6-49e5-4e43-9dd4-8f5a02f06036 · outbound
This paper cites An Analysis of Deep Neural Network Models for Practical Applications.
Modern CNNs for IoT Based Farms An Analysis of Deep Neural Network Models for Practical Applications
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T21:06:22.666126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 481bcd70-a9bc-4dd1-9e05-d95ff52fd246 · outbound
This paper cites Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet.
Modern CNNs for IoT Based Farms Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T21:06:22.643976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 77244759-ec26-449d-869d-b2eec91314cb · outbound
This paper cites Gradient-Based Learning Applied to Document Recognition.
Modern CNNs for IoT Based Farms Gradient-Based Learning Applied to Document Recognition
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.324693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f1adc39c-8d3e-44b7-a652-4e7b6afcc3cc · outbound
This paper cites ImageNet Classification with Deep Con- volutional Neural Networks.
Modern CNNs for IoT Based Farms ImageNet Classification with Deep Con- volutional Neural Networks
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.245619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f509e33b-5720-43e6-9197-46dda3cb65f5 · outbound
This paper cites Network In Network.
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T21:06:22.655715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f7fbbd1e-e977-4d7d-9ce3-d2757e0876fe · outbound
This paper cites ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation.
Modern CNNs for IoT Based Farms ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T21:06:22.638082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c48809ed-effb-4b3f-8a2b-050857a2d95c · outbound
This paper cites Visualizing and understanding convolutional networks.
Modern CNNs for IoT Based Farms Visualizing and understanding convolutional networks
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.428634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9e415030-9627-40c2-9e88-1ae6a483e8ee · outbound
This paper cites Going deeper with convolutions.
Modern CNNs for IoT Based Farms Going deeper with convolutions
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.329064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3e612f20-8448-46f9-a411-5a4ad0fd9566 · outbound
This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.
Modern CNNs for IoT Based Farms Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T21:06:22.650203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ce7657c4-bdd7-4b4d-94aa-78d11140e3dc · outbound
This paper cites an unresolved cited work.
Modern CNNs for IoT Based Farms Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T21:06:23.317602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5d9ee86f-b61c-4daa-95c0-966e407e5dae · outbound
This paper cites Deep Residual Learning for Image Recognition.
Modern CNNs for IoT Based Farms Deep Residual Learning for Image Recognition
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.291937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 99983311-1ec3-4ac2-9aca-0aaffa1c0325 · outbound
This paper cites Densely Connected Convolu- tional Networks.
Modern CNNs for IoT Based Farms Densely Connected Convolu- tional Networks
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.314467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation da6b51a4-4bce-4fa3-839f-498a2b8d5e71 · outbound
This paper cites Inception-v4, Inception-ResNet and the Im- pact of Residual Connections on Learning.
Modern CNNs for IoT Based Farms Inception-v4, Inception-ResNet and the Im- pact of Residual Connections on Learning
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.375728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a5516cd8-8f93-4b33-a31f-4c32ad71e7af · outbound
This paper cites Identity Mappings in Deep Residual Networks.
Modern CNNs for IoT Based Farms Identity Mappings in Deep Residual Networks
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.332887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cbe6027a-352b-49a1-bc7e-bc546513b6dd · outbound
This paper cites Deep fruit detection in orchards.
Modern CNNs for IoT Based Farms Deep fruit detection in orchards
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.306614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 04dbc794-ce33-4f73-89cf-f24dd42622e0 · outbound
This paper cites DeepFruits: A Fruit Detection System Using Deep Neural Networks.
Modern CNNs for IoT Based Farms DeepFruits: A Fruit Detection System Using Deep Neural Networks
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.310370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 647ef552-b419-441b-b614-182cc8c316d1 · outbound
This paper cites Deep-plant: Plant identification with convolutional neural networks.
Modern CNNs for IoT Based Farms Deep-plant: Plant identification with convolutional neural networks
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.320729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cd567084-4b23-4034-8b2e-82c99f0fd41a · outbound
This paper cites Fine-tuning Deep Convolutional Net- works for Plant Recognition CLEF (2015).
Modern CNNs for IoT Based Farms Fine-tuning Deep Convolutional Net- works for Plant Recognition CLEF (2015)
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.395722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c0e52ad0-f2db-49a0-8a73-84a0208ac1b9 · outbound
This paper cites Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture.
Modern CNNs for IoT Based Farms Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.432145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7ed401f5-f333-4461-a8dc-d046aec0283a · outbound
This paper cites Deep- Anomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field.
Modern CNNs for IoT Based Farms Deep- Anomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.339926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 134e65d5-2e4c-4db9-ae87-0c36172bf8df · outbound
This paper cites A., Rasmussen, J., Nielsen, J., Jrgensen, R.
Modern CNNs for IoT Based Farms A., Rasmussen, J., Nielsen, J., Jrgensen, R
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.346277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ae61e4c5-9b74-4112-a904-4a8369cd6dc6 · outbound
This paper cites Deep Count: Fruit Counting Based on Deep Simulated Learning.
Modern CNNs for IoT Based Farms Deep Count: Fruit Counting Based on Deep Simulated Learning
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.355270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 07607bc9-60b3-4cb9-a8d3-f2b58760f13a · outbound
This paper cites A Deep Learning-based Approach for Ba- nana Leaf Diseases Classification.
Modern CNNs for IoT Based Farms A Deep Learning-based Approach for Ba- nana Leaf Diseases Classification
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.302739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ec536a5b-5c60-41f4-b02b-b124d2b6fe3c · outbound
This paper cites Towards on-farm pig face recognition using convolutional neural net- works.
Modern CNNs for IoT Based Farms Towards on-farm pig face recognition using convolutional neural net- works
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.295195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 429676af-936d-43b1-9575-249826e4996f · outbound
This paper cites Plant species classification using deep convolutional neural network.
Modern CNNs for IoT Based Farms Plant species classification using deep convolutional neural network
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.298640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 14baf43b-a0b9-4535-8b7d-35bb719e11f9 · outbound
This paper cites H., Irfan, M., Minh, L., Suhyeon, I.
Modern CNNs for IoT Based Farms H., Irfan, M., Minh, L., Suhyeon, I
Reference 57
- Resolution
- verified exact
- doi, observed 2026-05-24T21:06:22.550306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2a4c63e6-d987-4f6d-bf9a-c4e7fadc3cdb · outbound
This paper cites Deep convolutional neural networks for mobile capture device-based crop disease classi- fication in the wild.
Modern CNNs for IoT Based Farms Deep convolutional neural networks for mobile capture device-based crop disease classi- fication in the wild
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.350875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2ed04230-7d18-4af8-8c8f-7420be531cd4 · outbound
This paper cites Caffe: Convolutional Architecture for Fast Feature Embed- ding.
Modern CNNs for IoT Based Farms Caffe: Convolutional Architecture for Fast Feature Embed- ding
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.370892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d7e603f9-4642-48d5-81ed-45dfe722e7db · outbound
This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.
Modern CNNs for IoT Based Farms Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.400015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7dfea3d8-943b-43ca-8c3d-da99d6d66499 · outbound
This paper cites Delving Deep into Rectifiers: Surpassing Human- Level Performance on ImageNet Classification.
Modern CNNs for IoT Based Farms Delving Deep into Rectifiers: Surpassing Human- Level Performance on ImageNet Classification
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T21:06:23.383686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.