A novel approach based on a modified mask R-CNN for the weight prediction of live pigs
June 2024
Since determining the weight of pigs during large-scale breeding and production is challenging, using non-contact estimation methods is vital. This study proposed a novel pig weight prediction method...
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LeafSpotNet: A deep learning framework for detecting leaf spot disease in jasmine plants
June 2024
Leaf blight spot disease, caused by bacteria and fungi, poses a threat to plant health, leading to leaf discoloration and diminished agricultural yield. In response, we present a MobileNetV3 based classifier...
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Deep learning for broadleaf weed seedlings classification incorporating data variability and model flexibility across two contrasting environments
June 2024
The increasing deployment of deep learning models for distinguishing weeds and crops has witnessed notable strides in agricultural scenarios. However, a conspicuous gap endures in the literature concerning...
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Grow-light smart monitoring system leveraging lightweight deep learning for plant disease classification
June 2024
This work focuses on a novel lightweight machine learning approach to the task of plant disease classification, posing as a core component of a larger grow-light smart monitoring system. To the extent...
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Deep learning-based intelligent precise aeration strategy for factory recirculating aquaculture systems
Available online 15 April 2024
Factory recirculating aquaculture system (RAS) is facing in a stage of continuous research and technological innovation. Intelligent aquaculture is an important direction for the future development...
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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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Vision Intelligence for Smart Sheep Farming: Applying Ensemble Learning to Detect Sheep Breeds
March 2024
The ability to automatically recognize sheep breeds holds significant value for the sheep industry. Sheep farmers often require breed identification to assess the commercial worth of their flocks. However,...
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Image classification of lotus in Nong Han Chaloem Phrakiat Lotus Park using convolutional neural networks
March 2024
The Nong Han Chaloem Phrakiat Lotus Park is a tourist attraction and a source of learning regarding lotus plants. However, as a training area, it lacks appeal and learning motivation due to its conventional...
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Real-time litchi detection in complex orchard environments: A portable, low-energy edge computing approach for enhanced automated harvesting
March 2024
Litchi, a succulent and perishable fruit, presents a narrow annual harvest window of under two weeks. The advent of smart agriculture has driven the adoption of visually-guided, automated litchi harvesting...
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Enhanced detection algorithm for apple bruises using structured light imaging
March 2024
Bruising reduces the edibility and marketability of fresh apples, inevitably causing economic losses for the apple industry. However, bruises lack obvious visual symptoms, which makes it challenging...
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Automated quality inspection of baby corn using image processing and deep learning
March 2024
The food industry typically relies heavily on manual operations with high proficiency and skills. According to the quality inspection process, a baby corn with black marks or blemishes is considered...
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Using an improved lightweight YOLOv8 model for real-time detection of multi-stage apple fruit in complex orchard environments
March 2024
For the purpose of monitoring apple fruits effectively throughout the entire growth period in smart orchards. A lightweight model named YOLOv8n-ShuffleNetv2-Ghost-SE was proposed. The ShuffleNetv2 basic...
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Crop diagnostic system: A robust disease detection and management system for leafy green crops grown in an aquaponics facility
December 2023
Crops grown on aquaponics farms are susceptible to various diseases or biotic stresses during their growth cycle, just like traditional agriculture. The early detection of diseases is crucial to witnessing...
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Machine learning for weed–plant discrimination in agriculture 5.0: An in-depth review
December 2023
Agriculture 5.0 is an emerging concept where sensors, big data, Internet-of-Things (IoT), robots, and Artificial Intelligence (AI) are used for agricultural purposes. Different from Agriculture 4.0,...
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Machine learning-based spectral and spatial analysis of hyper- and multi-spectral leaf images for Dutch elm disease detection and resistance screening
December 2023
Diseases caused by invasive pathogens are an increasing threat to forest health, and early and accurate disease detection is essential for timely and precision forest management. The recent technological...
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Harvest optimization for sustainable agriculture: The case of tea harvest scheduling
December 2023
To ensure sustainability in agriculture, many optimization problems need to be solved. An important one of them is harvest scheduling problem. In this study, the harvest scheduling problem for the tea...
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Cumulative unsupervised multi-domain adaptation for Holstein cattle re-identification
December 2023
In dairy farming, ensuring the health of each cow and minimizing economic losses requires individual monitoring, achieved through cow Re-Identification (Re-ID). Computer vision-based Re-ID relies on...
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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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CactiViT: Image-based smartphone application and transformer network for diagnosis of cactus cochineal
September 2023
The cactus is a plant that grows in many rural areas, widely used as a hedge, and has multiple benefits through the manufacture of various cosmetics and other products. However, this crop has been suffering...
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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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Detecting broiler chickens on litter floor with the YOLOv5-CBAM deep learning model
September 2023
For commercial broiler production, about 20,000–30,000 birds are raised in each confined house, which has caused growing public concerns on animal welfare. Currently, daily evaluation of broiler wellbeing...
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Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives
September 2023
Deep Learning (DL), a type of Machine Learning, has gained significant interest in many fields, including agriculture. This paper aims to shed light on deep learning techniques used in agriculture for...
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Development and evaluation of temperature-based deep learning models to estimate reference evapotranspiration
September 2023
Efficient irrigation management of urban landscapes is critical in arid/semi-arid environments and depends on the reliable estimation of reference evapotranspiration (ETo). However, the available measured...
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Corn kernel classification from few training samples
September 2023
This article presents an efficient approach to classify a set of corn kernels in contact, which may contain good, or defective kernels along with impurities. The proposed approach consists of two stages,...
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Estimation of morphological traits of foliage and effective plant spacing in NFT-based aquaponics system
September 2023
Deep learning and computer vision techniques have gained significant attention in the agriculture sector due to their non-destructive and contactless features. These techniques are also being integrated...
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