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Ruiqing Chen, Liang Sun, Zhongxin Chen, Deji Wuyun and Zheng Sun
The prompt and precise identification of corn and soybeans are essential for making informed decisions in agricultural production and ensuring food security. Nonetheless, conventional crop identification practices often occur after the completion of crop...
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Qianjing Li, Jia Tian and Qingjiu Tian
The combination of multi-temporal images and deep learning is an efficient way to obtain accurate crop distributions and so has drawn increasing attention. However, few studies have compared deep learning models with different architectures, so it remain...
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Ghulam Nabi, Fiaz Hussain, Ray-Shyan Wu, Vinay Nangia and Riffat Bibi
This study evaluated the effectiveness of soil and water conservation structures for soil erosion control by applying a semi-distributed Soil and Water Assessment Tool (SWAT) model in various small watersheds of the Chakwal and Attock districts of Pothwa...
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Christoph Hütt, Guido Waldhoff and Georg Bareth
Accurate crop-type maps are urgently needed as input data for various applications, leading to improved planning and more sustainable use of resources. Satellite remote sensing is the optimal tool to provide such data. Images from Synthetic Aperture Rada...
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Md. Shahinoor Rahman, Liping Di, Eugene Yu, Chen Zhang and Hossain Mohiuddin
Crop type information at the field level is vital for many types of research and applications. The United States Department of Agriculture (USDA) provides information on crop types for US cropland as a Cropland Data Layer (CDL). However, CDL is only avai...
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Guillaume Debaene, Dorota Pikula, Jacek Niedzwiecki
Pág. 21 - 32
The objective of this research was to investigate the effects of a long-term experiment on soil spectral properties and to develop prediction models of these properties (soil organic carbon (SOC), N, pH, Hh, P2O5, K2O, Ca, Mg, K, and Na content) from tex...
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G. S. Jang, K. A. Sudduth, E. J. Sadler, R. N. Lerch
Pág. 1535 - 1544
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L. Gurovich, J. Stern
Pág. 35 - 42
Variabilidad espacial de la velocidad de infiltración del agua en el suelo. I. Generación de datosCiencia e Investigación Agraria, Revista latinoamericana en Ciencias de la Agricultura, está indexada en las siguientes bases de datos: Thomson ISI, Alerta ...
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