Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides
2020
Agriculture plays a significant role in the economic sector. The automation in agriculture is the main concern and the emerging subject across the world. The population is increasing tremendously and...
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Computer vision in smart agriculture and precision farming: Techniques and applications
September 2024
The transformation of age-old farming practices through the integration of digitization and automation has sparked a revolution in agriculture that is driven by cutting-edge computer vision and artificial...
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Review of agricultural IoT technology
2022
Agricultural Internet of Things (IoT) has brought new changes to agricultural production. It not only increases agricultural output but can also effectively improve the quality of agricultural products,...
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Automation and digitization of agriculture using artificial intelligence and internet of things
2021
The growing population and effect of climate change have put a huge responsibility on the agriculture sector to increase food-grain production and productivity. In most of the countries where the expansion...
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Towards sustainable agriculture: Harnessing AI for global food security
June 2024
The issue of food security continues to be a prominent global concern, affecting a significant number of individuals who experience the adverse effects of hunger and malnutrition. The finding of a solution...
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Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
September 2024
Instance segmentation, an important image processing operation for automation in agriculture, is used to precisely delineate individual objects of interest within images, which provides foundational...
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Deep learning based computer vision approaches for smart agricultural applications
2022
The agriculture industry is undergoing a rapid digital transformation and is growing powerful by the pillars of cutting-edge approaches like artificial intelligence and allied technologies. At the core...
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A comprehensive review on automation in agriculture using artificial intelligence
June 2019
Agriculture automation is the main concern and emerging subject for every country. The world population is increasing at a very fast rate and with increase in population the need for food increases...
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AI-driven aquaculture: A review of technological innovations and their sustainable impacts
September 2025
The integration of artificial intelligence (AI) in aquaculture has been identified as a transformative force, enhancing various operational aspects from water quality management to genetic optimization....
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Fruit ripeness classification: A survey
March 2023
Fruit is a key crop in worldwide agriculture feeding millions of people. The standard supply chain of fruit products involves quality checks to guarantee freshness, taste, and, most of all, safety....
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Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination: A review
2020
An e-nose or an e-tongue is a group of gas sensors or chemical sensors that simulate human nose or human tongue. Both e-nose and e-tongue have shown great promise and utility in improving assessments...
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Deep learning-based classification, detection, and segmentation of tomato leaf diseases: A state-of-the-art review
June 2025
The early identification and treatment of tomato leaf diseases are crucial for optimizing plant productivity, efficiency and quality. Misdiagnosis by the farmers poses the risk of inadequate treatments,...
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A review of imaging techniques for plant disease detection
2020
Agriculture is the basis of every economy worldwide. Crop production is one of the major factors affecting domestic market condition in any country. Agricultural production is also a major prerequisite...
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Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review
June 2025
Amidst the growing food demands of an increasing population, agricultural intensification frequently depends on excessive chemical and fertilizer applications. While this approach initially boosts crop...
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Advancing precision agriculture: A comparative analysis of YOLOv8 for multi-class weed detection in cotton cultivation
June 2025
Effective weed management plays a critical role in enhancing the productivity and sustainability of cotton cultivation. The rapid emergence of herbicide-resistant weeds has underscored the need for...
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Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed
June 2025
Accurate recognition of maize seedlings on the plot scale under the disturbance of weeds is crucial for early seedling replenishment and weed removal. Currently, UAV-based maize seedling recognition...
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Comprehensive review on 3D point cloud segmentation in plants
June 2025
Segmentation of three-dimensional (3D) point clouds is fundamental in comprehending unstructured structural and morphological data. It plays a critical role in research related to plant phenomics, 3D...
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Transfer Learning for Multi-Crop Leaf Disease Image Classification using Convolutional Neural Network VGG
2022
In recent times, the use of artificial intelligence (AI) in agriculture has become the most important. The technology adoption in agriculture if creatively approached. Controlling on the diseased leaves...
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DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes
March 2024
Rice stands as a crucial staple food globally, with its enduring sustainability hinging on the prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have already occurred...
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Addressing computation resource exhaustion associated with deep learning training of three-dimensional hyperspectral images using multiclass weed classification
June 2025
Addressing the computational bottleneck of training deep learning models on high-resolution, three-dimensional images, this study introduces an optimized approach, combining distributed learning (parallelism),...
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Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques
September 2025
To reduce damage caused by insect pests, farmers use insecticides to protect produce from crop pests. This practice leads to high synthetic chemical usage because a large portion of the applied insecticide...
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Comparison of CNN-based deep learning architectures for rice diseases classification
September 2023
Although convolutional neural network (CNN) paradigms have expanded to transfer learning and ensemble models from original individual CNN architectures, few studies have focused on the performance comparison...
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A comprehensive survey on weed and crop classification using machine learning and deep learning
September 2024
Machine learning and deep learning are subsets of Artificial Intelligence that have revolutionized object detection and classification in images or videos. This technology plays a crucial role in facilitating...
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Machine learning in nutrient management: A review
September 2023
In agriculture, precise fertilization and effective nutrient management are critical. Machine learning (ML) has recently been increasingly used to develop decision support tools for modern agricultural...
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Transformer-based audio-visual multimodal fusion for fine-grained recognition of individual sow nursing behaviour
September 2025
Nursing behaviour and the calling-to-nurse sound are crucial indicators for assessing sow maternal behaviour and nursing status. However, accurately identifying these behaviours for individual sows...
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