FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386996820> ?p ?o ?g. }

• W4386996820 endingPage "4672" @default.
• W4386996820 startingPage "4672" @default.
• W4386996820 abstract "Timely, accurate spatial information on the health of neglected and underutilised crop species (NUS) is critical for optimising their production and food and nutrition in developing countries. Unmanned aerial vehicles (UAVs) equipped with multispectral sensors have significantly advanced remote sensing, enabling the provision of near-real-time data for crop analysis at the plot level in small, fragmented croplands where NUS are often grown. The objective of this study was to systematically review the literature on the remote sensing (RS) of the spatial distribution and health of NUS, evaluating the progress, opportunities, challenges, and associated research gaps. This study systematically reviewed 171 peer-reviewed articles from Google Scholar, Scopus, and Web of Science using the PRISMA approach. The findings of this study showed that the United States (n = 18) and China (n = 17) were the primary study locations, with some contributions from the Global South, including southern Africa. The observed NUS crop attributes included crop yield, growth, leaf area index (LAI), above-ground biomass (AGB), and chlorophyll content. Only 29% of studies explored stomatal conductance and the spatial distribution of NUS. Twenty-one studies employed satellite-borne sensors, while only eighteen utilised UAV-borne sensors in conjunction with machine learning (ML), multivariate, and generic GIS classification techniques for mapping the spatial extent and health of NUS. The use of UAVs in mapping NUS is progressing slowly, particularly in the Global South, due to exorbitant purchasing and operational costs, as well as restrictive regulations. Subsequently, research efforts must be directed toward combining ML techniques and UAV-acquired data to monitor NUS’ spatial distribution and health to provide necessary information for optimising food production in smallholder croplands in the Global South." @default.
• W4386996820 created "2023-09-25" @default.
• W4386996820 creator A5005970114 @default.
• W4386996820 creator A5010571528 @default.
• W4386996820 creator A5011418849 @default.
• W4386996820 creator A5065458289 @default.
• W4386996820 creator A5085346745 @default.
• W4386996820 date "2023-09-23" @default.
• W4386996820 modified "2023-09-30" @default.
• W4386996820 title "A Systematic Review of UAV Applications for Mapping Neglected and Underutilised Crop Species’ Spatial Distribution and Health" @default.
• W4386996820 cites W1277711400 @default.
• W4386996820 cites W1968496754 @default.
• W4386996820 cites W2007939589 @default.
• W4386996820 cites W2019033896 @default.
• W4386996820 cites W2020708554 @default.
• W4386996820 cites W2028462059 @default.
• W4386996820 cites W2067026359 @default.
• W4386996820 cites W2069209512 @default.
• W4386996820 cites W2091493105 @default.
• W4386996820 cites W2107918911 @default.
• W4386996820 cites W2116033926 @default.
• W4386996820 cites W2143395434 @default.
• W4386996820 cites W2167443344 @default.
• W4386996820 cites W2214879875 @default.
• W4386996820 cites W2397890012 @default.
• W4386996820 cites W2470816261 @default.
• W4386996820 cites W2553456597 @default.
• W4386996820 cites W2617056706 @default.
• W4386996820 cites W2625545923 @default.
• W4386996820 cites W2702400286 @default.
• W4386996820 cites W2753919264 @default.
• W4386996820 cites W2754154219 @default.
• W4386996820 cites W2767861487 @default.
• W4386996820 cites W2806325719 @default.
• W4386996820 cites W2885667473 @default.
• W4386996820 cites W2895112044 @default.
• W4386996820 cites W2896453082 @default.
• W4386996820 cites W2909193420 @default.
• W4386996820 cites W2912101005 @default.
• W4386996820 cites W2913010143 @default.
• W4386996820 cites W2922028018 @default.
• W4386996820 cites W2942924693 @default.
• W4386996820 cites W2950213875 @default.
• W4386996820 cites W2954946169 @default.
• W4386996820 cites W2972906473 @default.
• W4386996820 cites W2973253973 @default.
• W4386996820 cites W2990682522 @default.
• W4386996820 cites W2998686181 @default.
• W4386996820 cites W3013089506 @default.
• W4386996820 cites W3019900645 @default.
• W4386996820 cites W3025005185 @default.
• W4386996820 cites W3035598875 @default.
• W4386996820 cites W3036003289 @default.
• W4386996820 cites W3036739482 @default.
• W4386996820 cites W3040270067 @default.
• W4386996820 cites W3044893178 @default.
• W4386996820 cites W3047074348 @default.
• W4386996820 cites W3084095597 @default.
• W4386996820 cites W3085361910 @default.
• W4386996820 cites W3087546776 @default.
• W4386996820 cites W3088154325 @default.
• W4386996820 cites W3088765941 @default.
• W4386996820 cites W3091469287 @default.
• W4386996820 cites W3097582690 @default.
• W4386996820 cites W3113861800 @default.
• W4386996820 cites W3122024312 @default.
• W4386996820 cites W3128128489 @default.
• W4386996820 cites W3129677022 @default.
• W4386996820 cites W3132470034 @default.
• W4386996820 cites W3143639332 @default.
• W4386996820 cites W3165571939 @default.
• W4386996820 cites W3174560676 @default.
• W4386996820 cites W3176467083 @default.
• W4386996820 cites W3180006779 @default.
• W4386996820 cites W3187026582 @default.
• W4386996820 cites W3190293723 @default.
• W4386996820 cites W3195607881 @default.
• W4386996820 cites W3198625367 @default.
• W4386996820 cites W3202168825 @default.
• W4386996820 cites W3203267288 @default.
• W4386996820 cites W3206609383 @default.
• W4386996820 cites W3210138975 @default.
• W4386996820 cites W3213115083 @default.
• W4386996820 cites W3213326521 @default.
• W4386996820 cites W4200062003 @default.
• W4386996820 cites W4200421609 @default.
• W4386996820 cites W4205203619 @default.
• W4386996820 cites W4206803631 @default.
• W4386996820 cites W4207058800 @default.
• W4386996820 cites W4210480131 @default.
• W4386996820 cites W4210980375 @default.
• W4386996820 cites W4212955043 @default.
• W4386996820 cites W4214747034 @default.
• W4386996820 cites W4224308360 @default.
• W4386996820 cites W4225714265 @default.
• W4386996820 cites W4229013399 @default.
• W4386996820 cites W4280511953 @default.
• W4386996820 cites W4280535586 @default.

• next