Continuous development of convolutional neural networks has shown good performance for fine-grained image classification by identifying fine features in high-resolution images. However, in the real world, many images are due to camera or ...

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• N, P, and K nutrient status utilizing canopy hyperspectral data of summer maize were analyzed.
• Continuous wavelet transform was proposed to process the collected spectral reflectance.
• PLS and LL r2 model was used to ...

Nitrogen (N), phosphorus (P) and potassium (K) are important macronutrients to crops, and hence, in situ, timely and non-destructive estimation of their contents and distinguishing N, P, and K status is of critical prominence in precision farming ...

Graph similarity learning is a significant and fundamental issue in the theory and analysis of graphs, which has been applied in a variety of fields, including object tracking, recommender systems, similarity search, and so on. Recent methods for graph ...

Vision based autonomous navigation is widely used for agricultural robots. However, factors such as large area of weed, discontinuous crop rows, and differences in ambient lighting condition during different plant growth stages have brought ...

• A vision based robotic autonomous navigation in vegetable farms is proposed.
• Vegetation index and ridge segmentation is fused for plant segmentation.
• Tedious manual labeling of plants in pixels is avoided.
• A distance filtering ...

Sheep farming is a strategic sector of livestock husbandry, and its production has large market demand in many countries. The live weight of sheep provides important information about the health state and the time point for marketing. ...

• A lightweight model for sheep weight estimation using RGB-D images is proposed.

Precision livestock farming is a hot topic in the field of agriculture at present. However, due to the diversity of breeding environments, the current intelligent monitoring of animal information still faces challenges. In this study, ...

• The YOLOv5-ASFF model was proposed to detect body parts of cattle.
• The proposed ...

Animal sourced protein is increasing rapidly due to the growing of population and incomes. The big data, robots and smart sensing technologies have brought the autonomous robotic system to the smart farming that enhance productivity and ...

The vegetable is the most dynamic cash crop in the cultivation industry, and vegetable diseases are closely related to food security. Due to the characteristics of different diseases being similar and interference from the external ...

• An improved lightweight model for vegetable disease detection based on deep learning is proposed.

Data augmentation has been proved effective in training deep models. Existing data augmentation methods tackle fine-grained problem by blending image pairs and fusing corresponding labels according to the statistics of mixed pixels, which produces ...

• Satellite images of cattle are simulated using high resolution drone imagery.
• ...

Knowing where livestock are located enables optimized management and mustering. However, Australian farms are large meaning that many of Australia’s livestock are unmonitored which impacts farm profit, animal welfare and the ...

• The C3D-ConvLSTM based cow behaviour classification using video data is proposed.

Cow behaviour provides valuable information about animal welfare, activities and livestock production. Therefore, monitoring of behaviour is gaining importance in the improvement of animal health, fertility and production yield. ...

• A data augmentation method is proposed to train deep neural nets with limited data.

Deep learning methods such as convolutional neural networks (CNN) have become popular for addressing crops and weeds classification problems in agricultural robotics. However, to have satisfactory performance and avoid overfitting, ...

• A method of video key frame extraction for huge motion variation was put forward.

In precision livestock farming, computer vision based approaches have been widely used to obtain individual cattle health and welfare information such as body condition score, live weight, activity behaviours. For this, precisely ...

Recently, Convolutional Network (ConvNet) features permit to achieve state-of-the-art performance in robotic fields such as visual navigation and SLAM. In this paper, a visual localization technique was proposed based on ConvNet networks by combining the ...