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Thomas M. Koutsos and Georgios C. Menexes
The current study investigates the performance of various sampling designs in providing accurate estimates for crucial maize yield traits (intended for silage) including plant height, fresh/dry/ear weight, number of maize ears per plant, and total ear we...
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Parisa Sarzaeim and Francisco Muñoz-Arriola
Throughout history, the pursuit of diagnosing and predicting crop yields has evidenced genetics, environment, and management practices intertwined in achieving food security. However, the sensitivity of crop phenotypes and genetic responses to climate st...
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Hrvoje ?arcevic, Miroslav Bukan, Vlatko Galic, Antun Jambrovic, Kristina Kljak, Ivica Buhinicek, Ivan Pejic, Goran Ki? and Domagoj ?imic
Maize is considered a promising candidate for biofortification through breeding, given its widespread cultivation and significance as a food crop. This cost-effective and sustainable approach could be used to increase the content of different tocol compo...
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Julio César García-Colin, Carlos Díaz-Delgado, Humberto Salinas Tapia, Carlos Roberto Fonseca Ortiz, María Vicenta Esteller Alberich, Khalidou M. Bâ and Daury García Pulido
The present work proposes the use of green infrastructure (GI) called sustainable urban agriculture drainage systems with water reuse (SUADS-WR) to manage percolated water sustainably in urban agricultural areas (f.i. golf courses). The substrate of the ...
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Jianyong Zhang, Yanling Zhao, Zhenqi Hu and Wu Xiao
Rapid estimation of above-ground biomass (AGB) with high accuracy is essential for monitoring crop growth status and predicting crop yield. Recently, remote sensing techniques using unmanned aerial systems (UASs) have exhibited great potential in obtaini...
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Birgitta Hörnschemeyer, Malte Henrichs, Ulrich Dittmer and Mathias Uhl
Blue?green infrastructures (BGI) play an important role in addressing contemporary challenges posed by urbanization, climate change, and demographic shifts. This study focuses on the parameterization of BGI within hydrological models, specifically emphas...
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Carlos Alberto Matias de Abreu Júnior, George Deroco Martins, Laura Cristina Moura Xavier, João Vitor Meza Bravo, Douglas José Marques and Guilherme de Oliveira
Image-based spectral models assist in estimating the yield of maize. During the vegetative and reproductive phenological phases, the corn crop undergoes changes caused by biotic and abiotic stresses. These variations can be quantified using spectral mode...
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Thomas M. Koutsos, Georgios C. Menexes and Ilias G. Eleftherohorinos
Agricultural spatial analysis has the potential to offer new ways of analyzing crop data considering the spatial information of the measurements. Moving from farmers? estimates and crop-cuts techniques to interpolation is a new challenge, and a promising...
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Ali Raza, Nadhir Al-Ansari, Yongguang Hu, Siham Acharki, Dinesh Kumar Vishwakarma, Pouya Aghelpour, Muhammad Zubair, Christine Ajuang Wandolo and Ahmed Elbeltagi
One of the most important parts of the hydrological cycle is evapotranspiration (ET). Accurate estimates of ET in irrigated regions are critical to the planning, control, and regulation of agricultural natural resources. Accurate ET estimation is necessa...
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Harrison W. Smith, Amanda J. Ashworth and Phillip R. Owens
Optimizing soil?crop?landscape occurrence is essential for sustainable intensification and food security, but little work has been done to evaluate these parameters on Tribal lands. The objective of this study was to develop first ever high-resolution cr...
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