34 citations as recorded by crossref.

1. Winter Wheat-Yield Estimation in the Huang-Huai-Hai Region Based on KNN-Ward Phenological Zoning and Multi-Source Data Q. Wu et al.
2. Machine learning for yield prediction in Fergana valley, Central Asia M. Singh Boori et al.
3. Biodiversity research requires more motors in air, water and on land M. Qi et al.
4. Using hyperspectral signatures for predicting foliar nitrogen and calcium content of tissue cultured little-leaf mockorange (Philadelphus microphyllus A. Gray) shoots R. Khajehyar et al.
5. Cover Crop Types Influence Biomass Estimation Using Unmanned Aerial Vehicle-Mounted Multispectral Sensors S. Salehin et al.
6. Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices M. Yoosefzadeh-Najafabadi et al.
7. Quantifying Biochemical Traits over the Patagonian Sub-Antarctic Forests and Their Relation to Multispectral Vegetation Indices R. Taylor-Zavala et al.
8. Plant trait‐based approaches to improve nitrogen cycling in agroecosystems D. Abalos et al.
9. Exploiting the centimeter resolution of UAV multispectral imagery to improve remote-sensing estimates of canopy structure and biochemistry in sugar beet crops S. Jay et al.
10. The Terrestrial Carbon Sink T. Keenan & C. Williams
11. Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice H. Zheng et al.
12. Detecting vegetation stress as a soil contamination proxy: a review of optical proximal and remote sensing techniques A. Gholizadeh & V. Kopačková
13. Inversion of Glycyrrhiza Chlorophyll Content Based on Hyperspectral Imagery M. Xu et al.
14. Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz) M. Selvaraj et al.
15. High spatio-temporal monitoring of century-old biochar effects on evapotranspiration through the ETLook model: a case study with UAV and satellite image fusion based on additive wavelet transform (AWT) R. Heidarian Dehkordi et al.
16. Using unmanned aerial systems and deep learning for agriculture mapping in Dubai L. El Hoummaidi et al.
17. Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality M. Maimaitiyiming et al.
18. Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning L. Feng et al.
19. Influence of skidder traffic on soil bulk density, aspen regeneration, and vegetation indices following winter harvesting in the Duck Mountain Provincial Park, SK L. Sealey & K. Van Rees
20. Using Unmanned Aerial Systems (UAS) and Object-Based Image Analysis (OBIA) for Measuring Plant-Soil Feedback Effects on Crop Productivity R. Nuijten et al.
21. Multi-temporal estimation of vegetable crop biophysical parameters with varied nitrogen fertilization using terrestrial laser scanning J. Reji et al.
22. Correlation between Geochemical and Multispectral Patterns in an Area Severely Contaminated by Former Hg-As Mining C. Boente et al.
23. Potato Leaf Area Index Estimation Using Multi-Sensor Unmanned Aerial Vehicle (UAV) Imagery and Machine Learning T. Yu et al.
24. Estimation of nitrogen uptake, biomass, and nitrogen concentration, in cover crop monocultures and mixtures from optical UAV images P. Dal Lago et al.
25. Plant–Soil Feedback: Bridging Natural and Agricultural Sciences P. Mariotte et al.
26. Remote sensing of cover crop legacies on main crop N‐uptake dynamics N. Vavlas et al.
27. A Review on the Use of Unmanned Aerial Vehicles and Imaging Sensors for Monitoring and Assessing Plant Stresses J. Barbedo
28. Frontline remote sensing tool to locate hidden traits in root and tuber crops E. Joseph Fernando et al.
29. UAV based soil salinity assessment of cropland K. Ivushkin et al.
30. The role of soils in habitat creation, maintenance and restoration G. De Deyn & L. Kooistra
31. Invasive Vaucheria aff. compacta (Xanthophyceae) and its distribution over a high Arctic tidal flat in Svalbard J. Elster et al.
32. The use of machine learning methods to estimate aboveground biomass of grasslands: A review T. Morais et al.
33. Estimating Above-Ground Biomass of Maize Using Features Derived from UAV-Based RGB Imagery Y. Niu et al.
34. Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production M. Domingues Franceschini et al.