28 citations as recorded by crossref.

1. Adaptive event sensing in networks of autonomous mobile agents R. Esch et al. https://doi.org/10.1016/j.jnca.2016.04.022
2. UAVs as remote sensing platforms in plant ecology: review of applications and challenges Z. Sun et al. https://doi.org/10.1093/jpe/rtab089
3. A contextualized study of the usage of the Internet of things (IoTs) in smart farming in a typical Middle Eastern country within the context of Unified Theory of Acceptance and Use of Technology model (UTAUT) M. Ronaghi & A. Forouharfar https://doi.org/10.1016/j.techsoc.2020.101415
4. Comparison of vegetation indices obtained by drone and satellite B. Gati et al. https://doi.org/10.1051/e3sconf/202459001008
5. Comparison of MEMS-Based and FOG-Based IMUs to Determine Sensor Pose on an Unmanned Aircraft System D. Gautam et al. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000225
6. Application of an unmanned aerial system for monitoring paddy productivity using the GRAMI-rice model S. Jeong et al. https://doi.org/10.1080/01431161.2018.1425567
7. Advancements in Remote Sensing Imagery Applications for Precision Management in Olive Growing: A Systematic Review P. Marques et al. https://doi.org/10.3390/rs16081324
8. Cross-calibration of UAV multispectral sensors for green area index estimation J. Bukowiecki & H. Kage https://doi.org/10.1007/s11119-026-10321-0
9. Integration of smart sensors and IOT in precision agriculture: trends, challenges and future prospectives S. Mansoor et al. https://doi.org/10.3389/fpls.2025.1587869
10. Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture E. Honkavaara et al. https://doi.org/10.3390/rs5105006
11. A light-induced decrease in the photochemical reflectance index (PRI) can be used to estimate the energy-dependent component of non-photochemical quenching under heat stress and soil drought in pea, wheat, and pumpkin L. Yudina et al. https://doi.org/10.1007/s11120-020-00718-x
12. Sustainable Crop and Weed Management in the Era of the EU Green Deal: A Survival Guide A. Tataridas et al. https://doi.org/10.3390/agronomy12030589
13. High-Throughput Prediction of Whole Season Green Area Index in Winter Wheat With an Airborne Multispectral Sensor J. Bukowiecki et al. https://doi.org/10.3389/fpls.2019.01798
14. Task-based agricultural mobile robots in arable farming: A review K. Aravind et al. https://doi.org/10.5424/sjar/2017151-9573
15. An integer linear programming model for efficient scheduling of UGV tasks in precision agriculture under human supervision L. Fotio Tiotsop et al. https://doi.org/10.1016/j.cor.2019.104826
16. The effects of government subsidies according to the financial status of start-ups: Focusing on Moral Hazard of Smart Technology Entrepreneurs in the edible insect industry J. You & J. Choi https://doi.org/10.1080/19761597.2022.2036208
17. Advancements in smart farming: A comprehensive review of IoT, wireless communication, sensors, and hardware for agricultural automation C. Prakash et al. https://doi.org/10.1016/j.sna.2023.114605
18. Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV) E. Honkavaara et al. https://doi.org/10.1109/TGRS.2016.2565471
19. Utilisation of Ground and Airborne Optical Sensors for Nitrogen Level Identification and Yield Prediction in Wheat C. Zecha et al. https://doi.org/10.3390/agriculture8060079
20. A low-cost UAV for detection of Cercospora leaf spot in okra using deep convolutional neural network A. Rangarajan et al. https://doi.org/10.1007/s11042-022-12464-4
21. UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas E. Salamí et al. https://doi.org/10.3390/rs61111051
22. A survey of unmanned aerial sensing solutions in precision agriculture A. Mukherjee et al. https://doi.org/10.1016/j.jnca.2019.102461
23. Crop Monitoring Using Sentinel-2 and UAV Multispectral Imagery: A Comparison Case Study in Northeastern Germany M. Li et al. https://doi.org/10.3390/rs14174426
24. Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review A. Boursianis et al. https://doi.org/10.1016/j.iot.2020.100187
25. Remotely sensed identification of canopy characteristics using UAV-based imagery under unstable environmental conditions M. Awais et al. https://doi.org/10.1016/j.eti.2021.101465
26. A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops D. Gautam & V. Pagay https://doi.org/10.3390/agronomy10010140
27. Herbicide discovery in light of rapidly spreading resistance and ever‐increasing regulatory hurdles B. Peters & H. Strek https://doi.org/10.1002/ps.4768
28. Modelling the smart farm M. O'Grady & G. O'Hare https://doi.org/10.1016/j.inpa.2017.05.001