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Estimating Fractional Vegetation Cover of Row Crops from High Spatial Resolution Image
Remote Sensing, 2021 With high spatial resolution remote sensing images being increasingly used in precision agriculture, more details of the row structure of row crops are captured in the corresponding images.
Xu Ma
exaly +3 more sources
Trend Technologies for Robotic Fertilization Process in Row Crops [PDF]
Frontiers in Robotics and AI, 2022 The development of new sensory and robotic technologies in recent years and the increase in the consumption of organic vegetables have allowed the generation of specific applications around precision agriculture seeking to satisfy market demand.
Christyan Cruz Ulloa +4 more
doaj +2 more sources
A Modified Geometrical Optical Model of Row Crops Considering Multiple Scattering Frame
Remote Sensing, 2020 The canopy reflectance model is the physical basis of remote sensing inversion. In canopy reflectance modeling, the geometric optical (GO) approach is the most commonly used.
Xu Ma
exaly +3 more sources
Placement of fertilizers for row crops [PDF]
The Journal of Agricultural Science, 1953 In experiments on peas, beans, carrots, kale, beetroot and spinach appropriate dressings of fertilizers placed in one band 3 in. below the soil surface and 2 in. to the side of the seed did not damage germination. Peas and beans are likely to be injured when even small dressings of soluble fertilizers are drilled in contact with or below the seed.In ...
Cooke, G. W., Widdowson, F. V.
core +4 more sources
Modeling BRDF over Row Crops Canopy with Effects of Intra-Row Heterogeneity
Remote SensingRow crops are regarded as a transitional type between continuous and discrete vegetation. Previous studies idealized row crops as periodic hedgerows with rectangular cross-sections.
Yongming Du, Zunjian Bian, Hua Li
exaly +3 more sources
Extracting the central crop row with CCRDNet for universal in-row navigation in agriculture. [PDF]
Front Plant SciDeep learning has recently shown strong potential in crop row detection for navigation line extraction. However, existing approaches often rely on dataset-specific customization and extensive image preprocessing, limiting their practicality in real-world agricultural scenarios. In contrast, human operators can instinctively navigate machinery by simply
Zheng H, Wang Q.
europepmc +3 more sources
Justification of the Scheme of the Automated System of Control and Management of Seeding in Rowed Seed Drills [PDF]
E3S Web of Conferences, 2023 The article considers the issues of the need to improve the quality of the technological process of sowing seeds of row crops with precision seeding drills and the main trends of their improvement from the point of view of the possibility of introducing ...
Zubrilina E. M., Babenko O. S.
doaj +1 more source
Determining the Energy Efficiency of Corn, Sun-flower and Soybean Cultivation with the Use of Ridge Technology [PDF]
MATEC Web of Conferences, 2021 The article presents the developed energy-saving, resource-saving ridge technology for cultivating row crops and means of mechanization for its implementation allows increasing the yield of row crops on average in 5 years up to 38% without the use of ...
Zykin Evgeny +2 more
doaj +1 more source
Robot-supervised Learning of Crop Row Segmentation [PDF]
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 We propose an approach for robot-supervised learning that automates label generation for semantic segmentation with Convolutional Neural Networks (CNNs) for crop row detection in a field. Using a training robot equipped with RTK GNSS and RGB camera, we train a neural network that can later be used for pure vision-based navigation.
Bakken, Marianne +4 more
openaire +4 more sources
Who decides what tractors farmers need?
Аграрная наука Евро-Северо-Востока, 2021 Improvement of crop production technologies is based on the development of agricultural machinery in which the trac- tor power plays an important role.
V. N. Zernov +2 more
doaj +1 more source