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Wenjie Li, Wen Dong, Xin Zhang and Jinzhong Zhang
Remote sensing, the Internet, the Internet of Things (IoT), artificial intelligence, and other technologies have become the core elements of modern agriculture and smart farming. Agricultural production and management modes guided by data and services ha...
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Chunyang Wang, Huan Zhang, Xifang Wu, Wei Yang, Yanjun Shen, Bibo Lu and Jianlong Wang
Accurate and rapid access to crop distribution information is a significant requirement for the development of modern agriculture. Improving the efficiency of remote sensing monitoring of winter wheat planting area information, a new method of automatica...
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María De los Ángeles Soriano-Luna, Gregorio Ángeles-Pérez, Mario Guevara, Richard Birdsey, Yude Pan, Humberto Vaquera-Huerta, José René Valdez-Lazalde, Kristofer D. Johnson and Rodrigo Vargas
The proper estimation of above-ground biomass (AGB) stocks of managed forests is a prerequisite to quantifying their role in climate change mitigation. The aim of this study was to analyze the spatial variability of AGB and its uncertainty between active...
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Giacomo Gerosa, Riccardo Marzuoli, Beatrice Monteleone, Maria Chiesa and Angelo Finco
The estimation of the ozone (O3) stomatal dose absorbed by a forest is a crucial step for O3 risk assessment. For this purpose, data on O3 concentrations at the forest top-canopy are needed. However, O3 is barely measured at that height, while more often...
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Muhammad Zulkarnain Abd Rahman, Md Afif Abu Bakar, Khamarrul Azahari Razak, Abd Wahid Rasib, Kasturi Devi Kanniah, Wan Hazli Wan Kadir, Hamdan Omar, Azahari Faidi, Abd Rahman Kassim and Zulkiflee Abd Latif
Recent methods for detailed and accurate biomass and carbon stock estimation of forests have been driven by advances in remote sensing technology. The conventional approach to biomass estimation heavily relies on the tree species and site-specific allome...
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