Recent Advances in Applications of Remote Image Capture Systems in Agriculture
Source abstract
Abstract
Efficient and sustainable agriculture requires the application of new technologies in all aspects of the production system [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Smart Agriculture and AI · Water Quality Monitoring Technologies · Currency Recognition and Detection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Agricultural Engineering Department, Technical University of Cartagena, 30203 Cartagena, Spain
Computer Science and Systems Department, University of Murcia, 30100 Murcia, Spain
References (16)
Show source-provided references
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2. Vélez, S., Barajas, E., Rubio, J.A., Vacas, R., and Poblete-Echeverría, C. (2020). Effect of Missing Vines on Total Leaf Area Determined by NDVI Calculated from Sentinel Satellite Data: Progressive Vine Removal Experiments. Appl. Sci., 10.10.3390/app10103612 ↗
3. Casamitjana, M., Torres-Madroñero, M.C., Bernal-Riobo, J., and Varga, D. (2020). Soil Moisture Analysis by Means of Multispectral Images According to Land Use and Spatial Resolution on Andosols in the Colombian Andes. Appl. Sci., 10.10.3390/app10165540 ↗
4. Clark, A., and McKechnie, J. (2020). Detecting Banana Plantations in the Wet Tropics, Australia, Using Aerial Photography and U-Net. Appl. Sci., 10.10.3390/app10062017 ↗
5. Franzini, M., Ronchetti, G., Sona, G., and Casella, V. (2019). Geometric and Radiometric Consistency of Parrot Sequoia Multispectral Imagery for Precision Agriculture Applications. Appl. Sci., 9.10.3390/app9245314 ↗
6. Xia, L., Zhang, R., Chen, L., Huang, Y., Xu, G., Wen, Y., and Yi, T. (2019). Monitor Cotton Budding Using SVM and UAV Images. Appl. Sci., 9.10.3390/app9204312 ↗
7. Blaya-Ros, P.J., Blanco, V., Domingo, R., Soto-Vallés, F., and Torres-Sánchez, R. (2020). Feasibility of Low-Cost Thermal Imaging for Monitoring Water Stress in Young and Mature Sweet Cherry Trees. Appl. Sci., 10.10.3390/app10165461 ↗
8. Benavides, M., Cantón-Garbín, M., Sánchez-Molina, J.A., and Rodríguez, F. (2020). Automatic Tomato and Peduncle Location System Based on Computer Vision for Use in Robotized Harvesting. Appl. Sci., 10.10.3390/app10175887 ↗
9. Coviello, L., Cristoforetti, M., Jurman, G., and Furlanello, C. (2020). GBCNet: In-Field Grape Berries Counting for Yield Estimation by Dilated CNNs. Appl. Sci., 10.10.3390/app10144870 ↗
10. López, A.F., Marín-Sánchez, D., García-Mateos, G., Ruiz-Canales, A., Ferrandez-Villena, M., and Molina-Martínez, J.M. (2020). A Machine Learning Method to Estimate Reference Evapotranspiration Using Soil Moisture Sensors. Appl. Sci., 10.10.3390/app10061912 ↗
11. Chen, F., Wang, E., Zhang, B., Zhang, L., and Meng, F. (2020). Prediction of Fracture Damage of Sandstone Using Digital Image Correlation. Appl. Sci., 10.10.3390/app10041280 ↗
12. Sabzi, S., Pourdarbani, R., Kalantari, D., and Panagopoulos, T. (2020). Designing a Fruit Identification Algorithm in Orchard Conditions to Develop Robots Using Video Processing and Majority Voting Based on Hybrid Artificial Neural Network. Appl. Sci., 10.10.3390/app10010383 ↗
13. Serrano, J., Shahidian, S., Da Silva, J.M., Paixão, L., Carreira, E., Carmona-Cabezas, R., Nogales-Bueno, J., and Rato, A.E. (2020). Evaluation of Near Infrared Spectroscopy (NIRS) and Remote Sensing (RS) for Estimating Pasture Quality in Mediterranean Montado Ecosystem. Appl. Sci., 10.10.3390/app10134463 ↗
14. Velásquez, D., Sánchez, A., Sarmiento, S., Toro, M., Maiza, M., and Sierra, B. (2020). A Method for Detecting Coffee Leaf Rust through Wireless Sensor Networks, Remote Sensing, and Deep Learning: Case Study of the Caturra Variety in Colombia. Appl. Sci., 10.10.3390/app10020697 ↗
15. Parras-Burgos, D., Fernández-Pacheco, D.G., Barbosa, T.P., Soler-Méndez, M., and Molina-Martínez, J.M. (2020). An Augmented Reality Tool for Teaching Application in the Agronomy Domain. Appl. Sci., 10.10.3390/app10103632 ↗
16. García-Berná, J.A., Ouhbi, S., Benmouna, B., García-Mateos, G., Fernández-Alemán, J.L., and Molina-Martínez, J.M. (2020). Systematic Mapping Study on Remote Sensing in Agriculture. Appl. Sci., 10.10.3390/app10103456 ↗