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Dthenifer Cordeiro Santana, Gustavo de Faria Theodoro, Ricardo Gava, João Lucas Gouveia de Oliveira, Larissa Pereira Ribeiro Teodoro, Izabela Cristina de Oliveira, Fábio Henrique Rojo Baio, Carlos Antonio da Silva Junior, Job Teixeira de Oliveira and Paulo Eduardo Teodoro
Using multispectral sensors attached to unmanned aerial vehicles (UAVs) can assist in the collection of morphological and physiological information from several crops. This approach, also known as high-throughput phenotyping, combined with data processin...
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Flavo Elano Soares de Souza and José Inácio de Jesus Rodrigues
With the growing availability of remote sensing orbital spatial data, the applications of machine learning (ML) algorithms have been leveraging the field of process automation in image classification. The present work aimed to evaluate the precision and ...
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Dorijan Radocaj, Ante ?iljeg, Rajko Marinovic and Mladen Juri?ic
Vegetation indices provide information for various precision-agriculture practices, by providing quantitative data about crop growth and health. To provide a concise and up-to-date review of vegetation indices in precision agriculture, this study focused...
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Sean McCarthy, Summer Crawford, Christopher Wood, Mark D. Lewis, Jason K. Jolliff, Paul Martinolich, Sherwin Ladner, Adam Lawson and Marcos Montes
Here we present a machine-learning-based method for utilizing traditional ocean-viewing satellites to perform automated atmospheric correction of nanosatellite data. These sensor convolution techniques are required because nanosatellites do not usually p...
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Johannes Schuster, Ludwig Hagn, Martin Mittermayer, Franz-Xaver Maidl and Kurt-Jürgen Hülsbergen
Satellite and sensor-based systems of site-specific fertilization have been developed almost exclusively in conventional farming. Agronomic and ecological advantages can also be expected from these digital methods in organic farming. However, it has not ...
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Yang Li, Bo Zhao, Jizhong Wang, Yanjun Li and Yanwei Yuan
Accurate yield estimation before the wheat harvest is very important for precision management, maintaining grain market stability, and ensuring national food security. In this study, to further improve the accuracy of winter wheat yield estimation, machi...
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Nicola Ghirardi, Mariano Bresciani, Gary Free, Monica Pinardi, Rossano Bolpagni and Claudia Giardino
The improvement of effective remote sensing-based approaches to map macrophyte features can provide a baseline of adequate spatiotemporal resolution for 21st century monitoring applications equipped to play a prominent role in the context of medium?large...
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Shahab Ud Din, Khan Muhammad, Muhammad Fawad Akbar Khan, Shahid Bashir, Muhammad Sajid and Asif Khan
Despite low spatial resolutions, thermal infrared bands (TIRs) are generally more suitable for mineral mapping due to fundamental tones and high penetration in vegetated areas compared to shortwave infrared (SWIR) bands. However, the weak overtone combin...
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Suyoung Park, Dongryeol Ryu, Sigfredo Fuentes, Hoam Chung, Mark O?Connell and Junchul Kim
There is a growing concern about water scarcity and the associated decline in Australia?s agricultural production. Efficient water use as a natural resource requires more precise and adequate monitoring of crop water use and irrigation scheduling. Theref...
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Juan G. Arango and Robert W. Nairn
The purpose of this study was to create different statistically reliable predictive algorithms for trophic state or water quality for optical (total suspended solids (TSS), Secchi disk depth (SDD), and chlorophyll-a (Chl-a)) and non-optical (total phosph...
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