[论文总结] 智慧农业论文摘要阅读概览

文章目录

• • 1. Design of a winter-jujube grading robot based on machine vision （Computers and Electronics in Agriculture）
  • 2. Adaptive filtering-based soft sensor method for estimating total nitrogen in aquaponic systems
  • 3. A method combining ELM and PLSR (ELM-P) for estimating chlorophyll content in rice with feature bands extracted by an improved ant colony optimization algorithm
  • 4.Recognition of carrot appearance quality based on deep feature and support vector machine（2021年3月投稿，5 月5日见刊）
  • 5. Assessment of calibration methods for nitrogen estimation in wet and dry soil samples with different wavelength ranges using near-infrared spectroscopy
  • 6. Field-road trajectory segmentation for agricultural machinery based on direction distribution
  • 7. Large-scale winter catch crop monitoring with Sentinel-2 time series and machine learning–An alternative to on-site controls/li>
  • 8. Implementing agricultural water pricing policy in irrigation districts without a market mechanism: Comparing the conventional and automatic water distribution systems
  • 9. Development of pulsed electric fields treatment unit to treat wheat grains: Improvement of seed vigour and stress tolerance
  • 10. Knowledge transfer for adapting pre-trained deep neural models to predict different greenhouse environments based on a low quantity of data
  • 10. Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network
  • 11. DeepPhenology: Estimation of apple flower phenology distributions based on deep learning
  • 12. Design, development, and performance evaluation of a robot for yield estimation of kiwifruit
  • 13. Multi-stream hybrid architecture based on cross-level fusion strategy for fine-grained crop species recognition in precision agriculture
  • 14. Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods
  • 15. Projection of the climate change effects on soil water dynamics of summer maize grown in water repellent soils using APSIM and HYDRUS-1D models
  • 16. Small-sample learning with salient-region detection and center neighbor loss for insect recognition in real-world complex scena
  • 17. Greenhouse-based vegetable high-throughput phenotyping platform and trait evaluation for large-scale lettuces
  • 18. In-field tea shoot detection and 3D localization using an RGB-D camera
  • 19.Defective egg detection based on deep features and Bidirectional Long-Short-Term-Memory
  • 20. Design, development, and performance evaluation of a robot for yield estimation of kiwifruit
  • 21. Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods 南京农业大学曹卫星老师课题组
  • 22. Research of simulation analysis and experimental optimization of banana de-handing device with self-adaptive profiling function
  • 23. Crop height estimation based on UAV images: Methods, errors, and strategies
  • 24. Method for optimizing controlled conditions of plant growth using U-chord curvature
  • 25. Motion-based visual inspection of optically indiscernible defects on the example of hazelnuts
  • 26. The e-funnel trap: Automatic monitoring of lepidoptera; a case study of tomato leaf miner
  • 27. Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models
  • 28. Apple, peach, and pear flower detection using semantic segmentation network and shape constraint level set
  • 29. Evaluating the sensitivity of water stressed maize chlorophyll and structure based on UAV derived vegetation indices
  • 30. An automatic approach for detecting seedlings per hill of machine-transplanted hybrid rice utilizing machine vision
  • 32. Multi-temporal estimation of vegetable crop biophysical parameters with varied nitrogen fertilization using terrestrial laser scanning
  • 32. Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems
  • 33. A methodology for semantic action recognition based on pose and human-object interaction in avocado harvesting processes
  • 34. Assessment of potato late blight from UAV-based multispectral imagery
  • 35. Integrated planning for planting and harvesting sugarcane and energy-cane for the production of sucrose and energy
  • 36. Nondestructive detection of decayed blueberry based on information fusion of hyperspectral imaging (HSI) and low-Field nuclear magnetic resonance (LF-NMR)
  • 37. Evaluation of stacking and blending ensemble learning methods for estimating daily reference evapotranspiration
  • 38. Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm
  • 39. A study on the use of UAV images to improve the separation accuracy of agricultural land areas
  • 40. Non-structural modification of agricultural water distribution systems in large scale irrigation districts
  • 41. Estimation of corn yield based on hyperspectral imagery and convolutional neural network
  • 42. Deep learning for white cabbage seedling prediction
  • 43. Few-shot vegetable disease recognition model based on image text collaborative representation learning
  • 44. A vegetable disease recognition model for complex background based on region proposal and progressive learning
  • 45. Method of famous tea sprout identification and segmentation based on improved watershed algorithm
  • 46. Identification of maize leaves infected by fall armyworms using UAV-based imagery and convolutional neural networks
  • 47. Determination of application volume for coffee plantations using artificial neural networks and remote sensing
  • 48. UAV-based high-throughput phenotyping to increase prediction and selection accuracy in maize varieties under artificial MSV inoculation
  • 49. A deep learning approach for RGB image-based powdery mildew disease detection on strawberry leaves
  • 50. Sequential forward selection and support vector regression in comparison to LASSO regression for spring wheat yield prediction based on UAV imagery
  • 51. Application of non-destructive sensors and big data analysis to predict physiological storage disorders and fruit firmness in ‘Braeburn’ apples
  • 52. Automated in-field leaf-level hyperspectral imaging of corn plants using a Cartesian robotic platform
  • 53. Detection, classification, and mapping of coffee fruits during harvest with computer vision
  • 54. An automated zizania quality grading method based on deep classification model
  • 55. Tea moisture content detection with multispectral and depth images
  • 56. Detecting soybean leaf disease from synthetic image using multi-feature fusion faster R-CNN
  • 57. Disease and pest infection detection in coconut tree through deep learning techniques
  • 58. Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions
  • 59. Identification of stored grain pests by modified residual network
  • 60*. A non-destructive and highly efficient model for detecting the genuineness of maize variety ‘JINGKE 968′ using machine vision combined with deep learning（IDEA：检测种子和道地药材）
  • 61. Optimised ANN and SVR models for online prediction of moisture content and temperature of lentil seeds in a microwave fluidised bed dryer
  • 62. A deep learning approach for anthracnose infected trees classification in walnut orchards
  • 63. Modeling spatial and temporal optimal N fertilizer rates to reduce nitrate leaching while improving grain yield and quality in malting barley
  • 64. Development of an automated plant phenotyping system for evaluation of salt tolerance in soybean (IDEA)
  • 65. Sugarcane nodes identification algorithm based on sum of local pixel of minimum points of vertical projection function
  • 66. Nondestructive measurement of husk-covered corn kernel layer dynamic moisture content in the field
  • 67. Improved multi-classes kiwifruit detection in orchard to avoid collisions during robotic picking
  • 68. Irrigation decision method for winter wheat growth period in a supplementary irrigation area based on a support vector machine algorithm
  • 69. Multispectral image based germination detection of potato by using supervised multiple threshold segmentation model and Canny edge detector
  • 70. A high-precision detection method of hydroponic lettuce seedlings status based on improved Faster RCNN
  • 71. A virtual sensor simulation system of a flower greenhouse coupled with a new temperature microclimate model using three-dimensional CFD
  • 72. Leaf image-based classification of some common bean cultivars using discriminative convolutional neural networks
  • 73. A decision support system for tobacco cultivation measures based on BPNN and GA
  • 74. Calibration and validation of soil water balance (SWB) model in the Inner Argentinian Pampas
  • 75. Stereo-vision-based crop height estimation for agricultural robots
  • 76. Detection of impurities in wheat using terahertz spectral imaging and convolutional neural networks
  • 77. Regional estimation of garlic yield using crop, satellite and climate data in Mexico
  • 78. Development of a mobile computing framework to aid decision-making on organic fertilizer management using a crop growth model
  • 79. Detection of typical obstacles in orchards based on deep convolutional neural network
  • 80. Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches
  • 81*. Machine learning techniques for classifying the sweetness of watermelon using acoustic signal and image processing (立意有趣)
  • 82. Mapping cotton cultivated area combining remote sensing with a fused representation-based classification algorithm
  • 83. Wood species automatic identification from wood core images with a residual convolutional neural network
  • 84. Hardness recognition of fruits and vegetables based on tactile array information of manipulator
  • 85. Regional estimation of garlic yield using crop, satellite and climate data in Mexico
  • 86. Hyperspectral imaging techniques for rapid detection of nutrient content of hydroponically grown lettuce cultivars
  • 87. Semantic segmentation for partially occluded apple trees based on deep learning (语义分割，苹果)
  • 88. Effects of application height and crosswind on the crop spraying performance of unmanned helicopters
  • 89.Spatial domain bridge transfer : An automated paddy rice mapping method with no training data required and decreased image inputs for the large cloudy area
  • 90. Disease detection in tomato leaves via CNN with lightweight architectures implemented in Raspberry Pi 4
  • 91. A cloud computing-based approach using the visible near-infrared spectrum to classify greenhouse tomato plants under water stress
  • 92. Classifying season long livestock grazing behavior with the use of a low-cost GPS and accelerometer
  • 93. Measuring pecan nut growth utilizing machine vision and deep learning for the better understanding of the fruit growth curve
  • 94. Predicting pasture biomass using a statistical model and machine learning algorithm implemented with remotely sensed imager
  • Improving TLS-based stem volume estimates by field measurements
  • 95.Predicting pasture biomass using a statistical model and machine learning algorithm implemented with remotely sensed imagery
  • 96. Integration of RGB-based vegetation index, crop surface model and object-based image analysis approach for sugarcane yield estimation using unmanned aerial vehicle
  • 97.Irrigation water infiltration modeling using machine learning
  • 98.Short term soil moisture forecasts for potato crop farming: A machine learning approach
  • 99. Recognizing black point in wheat kernels and determining its extent using multidimensional feature extraction and a naive Bayes classifier
  • 100. Neural network soil moisture model for irrigation scheduling
  • 101. Rice nitrogen nutrition estimation with RGB images and machine learning methods
  • 102. A diagnostic visible/near infrared tool for a fully automated olive ripeness evaluation in a view of a simplified optical system
  • 103. Quality estimation of nuts using deep learning classification of hyperspectral imagery
  • 104. fruclimadapt：用于温带水果物种气候适应性评估的R包

1. Design of a winter-jujube grading robot based on machine vision （Computers and Electronics in Agriculture）

摘要：Winter-jujube(冬枣)在中国是一种新鲜的水果。 收获后,winter-jujubes需要年级分成不同的类别根据其成熟度级别。 成熟winter-jujube可以认可他们的红色。 在这项研究中,一个winter-jujube分级机器人设计。 此外,一个方法结合YOLOv3算法和hand-engineered特性开发计算winter-jujube的成熟度。 分级机器人由传输单元,一个图像采集单元和一个致动器单元。 基于YOLOv3算法,检测模型训练,并与SSD和更快的R-CNN算法。 当借据0.7、0.8和0.9,模型的F1分数是100%,100%,和93.66%,分别。 地图(借据= 0.50:0.05:0.95)模型的是94.78%,和单一图像的检测时间0.042秒。 检测模型展览在不同照明条件下稳定性高。 此外,图像中重叠winter-jujubes可以准确检测。 图像畸变校正和对象检测后,图像处理流的空间定位、尺寸测量和成熟为winter-jujubes设计计算。 最后,一个实时分级装置winter-jujube建立执行分级实验。 成熟度分级精度97.28%,每个winter-jujube的平均评分时间是1.39秒。

评分：目标检测+1分，分级机器人+3分，数据集不明确无法判断。

2. Adaptive filtering-based soft sensor method for estimating total nitrogen in aquaponic systems

评分：软传感器+2分，其他看不出来。摘要写的一般，背景内容太多。

3. A method combining ELM and PLSR (ELM-P) for estimating chlorophyll content in rice with feature bands extracted by an improved ant colony optimization algorithm

评分： 无人机+自己数据集=5分；图像分割模型设计+3分；目测7-8分。

4.Recognition of carrot appearance quality based on deep feature and support vector machine（2021年3月投稿，5 月5日见刊）

摘要：胡萝卜外观质量是胡萝卜分级的重要指标，因此准确识别胡萝卜加工中的胡萝卜外观质量