# Smart Agriculture and AI

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/smart-agriculture-and-ai/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the advancements in precision agriculture technologies, including the use of deep learning, machine learning, and image processing for plant disease detection, crop yield prediction, and environmental monitoring. It also explores the integration of Internet of Things (IoT) and wireless sensor networks in smart farming, as well as the application of agricultural robotics for automated tasks. The research emphasizes the potential of these technologies to revolutionize farming practices and contribute to sustainable agriculture. |
| Domain | Life Sciences |
| Field | Agricultural and Biological Sciences |
| OpenAlex ID | t10616 |
| Works | 1,102 |

## Topic papers all

Showing 15 of 1102.

- [Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification](https://scholariq.org/papers/deep-neural-networks-based-recognition-of-plant-diseases-by-leaf-image/)
- [A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition](https://scholariq.org/papers/a-robust-deep-learning-based-detector-for-real-time-tomato-plant-diseases-and/)
- [Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture](https://scholariq.org/papers/recent-advances-of-hyperspectral-imaging-technology-and-applications-in/)
- [Machine Learning Applications for Precision Agriculture: A Comprehensive Review](https://scholariq.org/papers/machine-learning-applications-for-precision-agriculture-a-comprehensive-review/)
- [Using deep transfer learning for image-based plant disease identification](https://scholariq.org/papers/using-deep-transfer-learning-for-image-based-plant-disease-identification/)
- [Deep learning based multi-temporal crop classification](https://scholariq.org/papers/deep-learning-based-multi-temporal-crop-classification/)
- [Plant Disease Detection and Classification by Deep Learning](https://scholariq.org/papers/plant-disease-detection-and-classification-by-deep-learning/)
- [Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives](https://scholariq.org/papers/unmanned-aerial-vehicle-remote-sensing-for-field-based-crop-phenotyping-current/)
- [ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network](https://scholariq.org/papers/toled-tomato-leaf-disease-detection-using-convolution-neural-network/)
- [Monitoring plant diseases and pests through remote sensing technology: A review](https://scholariq.org/papers/monitoring-plant-diseases-and-pests-through-remote-sensing-technology-a-review/)
- [Deep feature based rice leaf disease identification using support vector machine](https://scholariq.org/papers/deep-feature-based-rice-leaf-disease-identification-using-support-vector-machine/)
- [How deep learning extracts and learns leaf features for plant classification](https://scholariq.org/papers/how-deep-learning-extracts-and-learns-leaf-features-for-plant-classification/)
- [Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild](https://scholariq.org/papers/deep-convolutional-neural-networks-for-mobile-capture-device-based-crop-disease/)
- [A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network](https://scholariq.org/papers/a-recognition-method-for-cucumber-diseases-using-leaf-symptom-images-based-on/)
- [Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection](https://scholariq.org/papers/solving-current-limitations-of-deep-learning-based-approaches-for-plant-disease/)

## Topic primary papers

Showing 15 of 938.

- [Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification](https://scholariq.org/papers/deep-neural-networks-based-recognition-of-plant-diseases-by-leaf-image/)
- [A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition](https://scholariq.org/papers/a-robust-deep-learning-based-detector-for-real-time-tomato-plant-diseases-and/)
- [Machine Learning Applications for Precision Agriculture: A Comprehensive Review](https://scholariq.org/papers/machine-learning-applications-for-precision-agriculture-a-comprehensive-review/)
- [Using deep transfer learning for image-based plant disease identification](https://scholariq.org/papers/using-deep-transfer-learning-for-image-based-plant-disease-identification/)
- [Plant Disease Detection and Classification by Deep Learning](https://scholariq.org/papers/plant-disease-detection-and-classification-by-deep-learning/)
- [ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network](https://scholariq.org/papers/toled-tomato-leaf-disease-detection-using-convolution-neural-network/)
- [Deep feature based rice leaf disease identification using support vector machine](https://scholariq.org/papers/deep-feature-based-rice-leaf-disease-identification-using-support-vector-machine/)
- [How deep learning extracts and learns leaf features for plant classification](https://scholariq.org/papers/how-deep-learning-extracts-and-learns-leaf-features-for-plant-classification/)
- [Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild](https://scholariq.org/papers/deep-convolutional-neural-networks-for-mobile-capture-device-based-crop-disease/)
- [A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network](https://scholariq.org/papers/a-recognition-method-for-cucumber-diseases-using-leaf-symptom-images-based-on/)
- [Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection](https://scholariq.org/papers/solving-current-limitations-of-deep-learning-based-approaches-for-plant-disease/)
- [Recent advances in image processing techniques for automated leaf pest and disease recognition – A review](https://scholariq.org/papers/recent-advances-in-image-processing-techniques-for-automated-leaf-pest-and/)
- [An automated detection and classification of citrus plant diseases using image processing techniques: A review](https://scholariq.org/papers/an-automated-detection-and-classification-of-citrus-plant-diseases-using-image/)
- [Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection](https://scholariq.org/papers/detection-and-classification-of-citrus-diseases-in-agriculture-based-on/)
- [An advanced deep learning models-based plant disease detection: A review of recent research](https://scholariq.org/papers/an-advanced-deep-learning-models-based-plant-disease-detection-a-review-of/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.