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Míriam Piqué-Nicolau,Miren del Río,Rafael Calama,Gregorio Montero
Pág. 3 - 20
A yield model was developed to simulate silviculture alternatives for Pinus pinea L. in north-east Spain (Catalonia). The model uses several functions to estimate the main silvicultural parameters at stand level and a disaggregation system to predict dia...
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Felipe Pinheiro,Caio Ibsen Rodrigues de Almeida,José Valentim Vicente
Pág. pp. 79 - 92
Recently, a myriad of factor models including macroeconomic variables have been proposed to analyze the yield curve. We present an alternative factor model where term structure movements are captured by Legendre polynomials mimicking the statistical fact...
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Subhrajit Satpathy, Dipendra Shahi, Brayden Blanchard, Michael Pontif, Kenneth Gravois, Collins Kimbeng, Anna Hale, James Todd, Atmakuri Rao and Niranjan Baisakh
Sugarcane (Saccharum spp.) is an important perennial grass crop for both sugar and biofuel industries. The Louisiana sugarcane breeding program is focused on improving sugar yield by incrementally increasing genetic gain. With the advancement in genotypi...
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Manisha Maharjan, Anil Aryal, Rocky Talchabhadel and Bhesh Raj Thapa
It is unambiguous that climate change alters the intensity and frequency of precipitation and temperature distribution at the global and local levels. The rate of change in temperature in the northern latitudes is higher than the worldwide average. The a...
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Fernando Pérez-Rodríguez,João C. Azevedo,María Menéndez-Miguélez
Pág. eRC03
Aim of the study: To introduce and describe ApkFor©, an Android Open-Source Project to generate basic mobile applications to transfer forest growth and yield models for even-aged stands.Material and methods: ApkFor© was developed in Android Studio using ...
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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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Martin Kuradusenge, Eric Hitimana, Damien Hanyurwimfura, Placide Rukundo, Kambombo Mtonga, Angelique Mukasine, Claudette Uwitonze, Jackson Ngabonziza and Angelique Uwamahoro
Although agriculture remains the dominant economic activity in many countries around the world, in recent years this sector has continued to be negatively impacted by climate change leading to food insecurities. This is so because extreme weather conditi...
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Matti Sihvonen, Kari Hyytiäinen, Elena Valkama and Eila Turtola
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Felipe Bravo,Juan Gabriel Alvarez-Gonzalez,Miren del Rio,Marcos Barrio,Jose Antonio Bonet,Andres Bravo-Oviedo,Rafael Calama,Fernando Castedo-Dorado,Felipe Crecente-Campo,Sonia Condes,Ulises Dieguez-Aranda,Santiago Cesar Gonzalez-Martinez,Iñigo Lizarralde,Nikos Nanos,Alberto Madrigal,F. Javier Martinez-Millan,Gregorio Montero,Cristobal Ordoñez,Marc Palahi,Miriam Pique,Francisco Rodriguez,Roque Rodriguez-Soalleiro,Alberto Rojo,Ricardo Ruiz-Peinado,Mariola Sanchez-Gonzalez,Antoni Trasobares,Javier Vazquez-Pique
Pág. 315 - 328
In this paper we present a review of forest models developed in Spain in recent years for both timber and non timber production and forest dynamics (regeneration, mortality,..). Models developed are whole stand, size (diameter) class and individual-tree....
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Sadia Alam Shammi, Yanbo Huang, Gary Feng, Haile Tewolde, Xin Zhang, Johnie Jenkins and Mark Shankle
The application of remote sensing, which is non-destructive and cost-efficient, has been widely used in crop monitoring and management. This study used a built-in multispectral imager on a small unmanned aerial vehicle (UAV) to capture multispectral imag...
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Greg Lyle, Kenneth Clarke, Adam Kilpatrick, David McCulloch Summers and Bertram Ostendorf
Contemplation of potential strategies to adapt to a changing and variable climate in agricultural cropping areas depends on the availability of geo-information that is at a sufficient resolution, scale and temporal length to inform these decisions. We ev...
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Luis Giménez, Paula Paredes and Luis S. Pereira
Data relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter comb...
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Luis Giménez, Paula Paredes, Luis S. Pereira
Pág. 1 - 18
Data relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter comb...
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Jonathan Vance, Khaled Rasheed, Ali Missaoui and Frederick W. Maier
Alfalfa is critical to global food security, and its data is abundant in the U.S. nationally, but often scarce locally, limiting the potential performance of machine learning (ML) models in predicting alfalfa biomass yields. Training ML models on local-o...
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Daniela De Benedetto, Francesco Montemurro and Mariangela Diacono
The aim of this study was to determine the impact of agro-ecological practices on soil losses, by assessing experimental field topography changes and cauliflower crop yield after an artificial extreme rainfall event. Data were collected in an innovative ...
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Manisha Sanjay Sirsat, Paula Rodrigues Oblessuc and Ricardo S. Ramiro
Genomic Prediction (GP) is a powerful approach for inferring complex phenotypes from genetic markers. GP is critical for improving grain yield, particularly for staple crops such as wheat and rice, which are crucial to feeding the world. While machine le...
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Zhiyang Li, Zhigang Nie and Guang Li
One of the crucial research areas in agricultural decision-making processes is crop yield prediction. This study leverages the advantages of hybrid models to address the complex interplay of genetic, environmental, and management factors to achieve more ...
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Qingyan Wang, Longzhi Sun and Xuan Yang
Rice yield is essential to global food security under increasingly frequent and severe climate change events. Spatial analysis of rice yields becomes more critical for regional action to ensure yields and reduce climate impacts. However, the understandin...
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Yifang Zhou, Mingzhang Pan, Wei Guan, Changcheng Fu and Tiecheng Su
As a raw material for sugar, ethanol, and energy, sugarcane plays an important role in China?s strategic material reserves, economic development, and energy production. To guarantee the sustainable growth of the sugarcane industry and boost sustainable e...
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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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