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| Registros recuperados: 240 | |
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| Oksanen, Timo; Hakojärvi, M.; Maksimow, T.; Aspiala, A.; Hautala, M.; Visala, A.; Ahokas, J.. |
| Agricultural machines capable of utilizing variable rate application technology are tackling spatial variability in agricultural fields. Agricultural field robots are the next step in technology, robots which are capable of utilizing sensor and actuating technologies without human contact and operate only areas of interest. However, agricultural field robots are still under research. Robots are just one part of the next generation of crop farming having more advanced tools to do the work which currently requires humans. The next generation of crop farming, in the vision of the authors, is based on automation, which incorporates stationary and moving sensors systems, robots, model based decision making, automated operation planning which adapts to... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Robots; Crop growth models; Soil water models; Precision agriculture; Environment simulation; Decision making; Operation planning. |
| Ano: 2014 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2604 |
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| Bagheri, Nikrooz -. |
| To evaluate the performance of a variable rate boom sprayer, an artificial neural network (ANN) was employed. To model output flow of nozzles, 727 nets by four neural net models, namely, linear, MLP, RBF and GRNN were tested. For each nozzle, 45, 22 and 23 experimental data were used for train, verification and test, respectively. The results indicated that RBF model was selected as the best by regression ratio of 0.198 and R2 of 0.98. To investigate the capability of RBF model in prediction of nozzles flow, statistical analysis was used. Based on the results, average value of R2 for statistical and RBF models were 0.98 and 0.99, respectively. So, the average value of CV for RBF and statistical models were 18.96% and 19.05%, respectively. From the results,... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Precision agriculture; Mechanics of agricultural engineering ANN; Control system; Precision agriculture; Sprayer; VRA.. |
| Ano: 2014 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2861 |
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| Loureiro,Diego Campana; De-Polli,Helvécio; Ceddia,Marcos Bacis; Aquino,Adriana Maria de. |
| The objective of this work was to study the spatial variability of soil microbial biomass (SMB) and labile soil organic matter pools (labile SOM), under different management systems and plant cover. The experiment was conducted in a Haplic Planosol soil on an Integrated Agroecological Production System (SIPA), in Seropédica, Rio de Janeiro. The evaluated management systems were: alley cropping, pasture, and bush garden, the late one was used as reference area. Three grids of regular spacing of 2.5 x 2.5 meters were used for sampling, consisting of 25 georeferenced points each, where soil samples were taken at 0-10 cm depth. The following labile constituents of soil organic matter were determined: free light fraction (FLF), water soluble C and N, C and N of... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Organic carbon; Geoestatistic; Glomalin; Precision agriculture. |
| Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052010000500010 |
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| Elsayed,Salah; Elhoweity,Mohamed; El-Hendawy,Salah; Schmidhalter,Urs. |
| ABSTRACT High-throughput phenotyping using spectral reflectance measurements offers the potential to provide more information for making better-informed management decisions at the crop canopy level in real time. The aim of this study was to investigate the suitability of hyperspectral reflectance measurements of the crop canopy for the assessment of biomass, nitrogen concentration, nitrogen uptake, relative chlorophyll contents, and yield in 2 peanut cultivars, Giza 5 and Giza 6. Peanuts were grown under field conditions and subjected to 3 doses of nitrogen fertilizer with or without the application of 2 bio-fertilizers, Bradyrhizobium spp. or plant growth-promoting rhizobacteria. Simple linear regression of normalized difference spectral indices and... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Biofertilizer; Phenomics; Phenotyping; Precision agriculture; Spectral reflectance. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052017000200189 |
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| Pias,Osmar Henrique de Castro; Cherubin,Maurício Roberto; Berghetti,Juliano; Kuss,Cassiano Carlos; Santi,Antônio Luis; Basso,Claudir José. |
| ABSTRACT Euschistus heros is one the most important pest insect in soybean fields in Brazil. Therefore, site-specific management applied for controlling E. heros can result in economic and environmental benefits. However, sampling protocols for assessing spatialtemporal variability of this soybean pest and, then, for guiding a more sustainable pest management, were still unknown. Thus, the objective of this study was to compare the efficiency of sampling grid sizes for monitoring the spatial variability of E. heros infestation along the soybean reproductive stages. Nine sampling campaigns were carried out using the beating sheet method, from R2 to R7 soybean phenological stages. It was used a sampling grid of 10 × 10 m, totaling 338 points in an soybean... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Neotropical brown stink bug; Pest sampling protocol; Spatio-temporal variability; Precision agriculture. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052017000300386 |
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| Elsayed,Salah; Darwish,Waleed. |
| ABSTRACT Spectral remote sensing offers the potential to provide more information for making better-informed management decisions at the crop canopy level in real time. In contrast, the traditional methods for irrigation management are generally time-consuming, and numerous observations are required to characterize them. The aim of this study was to investigate the suitability of hyperspectral reflectance measurements of remote sensing technique for salinity and water stress condition. For this, the spectral indices of 5 maize cultivars were tested to assess canopy water content (CWC), canopy water mass (CWM), biomass fresh weight (BFW), biomass dry weight (BDW), cob yield (CY), and grain yield (GY) under full irrigation, full irrigation with salinity... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Irrigation; Precision agriculture; Precision phenotyping; Spectral indices. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052017000100062 |
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| Claret M,Marcelino; Urrutia P,Roberto; Ortega B,Rodrigo; Best S,Stanley; Valderrama V,Natalia. |
| Consumption of water contaminated with nitrates is associated with important health effects such as methemoglobinemia and gastric cancer. Intensive agriculture, which uses large quantities of N fertilizer, is the main source of nitrates in water systems. There are several strategies to reduce leaching and increase Nitrogen Use Efficiency (NUE). An experiment was conducted with spring wheat (Triticum aestivum L.) under sprinkler irrigation (center pivot) to determine if adjusted N applications using precision agriculture tools and plant demand resulted in a lower groundwater nitrate load. Evaluated treatments were: produced fertilization (Pr), precision agriculture (Pa), chlorophyll meter (Sm), and control without N (W/N). The ceramic capsule methodology... |
| Tipo: Journal article |
Palavras-chave: Nitrates; Precision agriculture; Chlorophyll meter; Wheat. |
| Ano: 2011 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392011000100018 |
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| Camacho-Tamayo,Jesús H; Luengas,Carlos A; Leiva,Fabio R. |
| Growing demand for food exerts pressure on natural resources and may lead to the expansion of agricultural frontiers in developing countries. Most of this pressure appears in tropical zones, in native savannahs, with naturally infertile soils prone to degradation. Crop management in these regions is based on generalized estimates, leaving aside the inherent soil variability, leading to low production efficiency and high risk of environmental damage. This study aims at determining the spatial variability of some chemical properties, including organic carbon, pH, exchangeable acidity, exchangeable aluminum, P, Ca, Mg, K and Na for two Oxisols with different levels of agricultural intervention, in Puerto Lopez, Colombia, in order to identify guidelines for... |
| Tipo: Journal article |
Palavras-chave: Geostatistics; Kriging; Soil management; Precision agriculture; Kriging. |
| Ano: 2008 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392008000100005 |
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| Hurtado,Sandro Manuel Carmelino; Silva,Carlos Alberto; Resende,Álvaro Vilela de; Von Pinho,Renzo Garcia; Inácio,Euzelina dos Santos Borges; Higashikawa,Fábio Satoshi. |
| In Brazil, technicians, in most cases, ignore the aspects related to the spatial variability of the soil acidity attributes when liming requirement is calculated. The objective of this study was to validate the liming practice, evaluating the presence of spatial variability of the soil acidity attributes and the existence of areas with differentiated liming requirement, which were calculated by different methods. The experiment was carried out in an area cultivated with corn under conventional management and irrigation. The soil (0-0.2 m) was sampled in a conventional way (composite soil sample) and in a systematic scheme, by use of a grid sampling. In sequence to the soil fertility attributes analysis, it was calculated the liming requirement, according... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Precision agriculture; Geostatistics; Zea mays (L); Liming application zones. |
| Ano: 2009 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542009000500022 |
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| Hoss,Douglas Felipe; Luz,Gean Lopes da; Lajús,Cristiano Reschke; Moretto,Marcos Antônio; Tremea,Geraldo Antonio. |
| ABSTRACT The combination of multispectral aerial images and computational processing is emerging as one of the solutions used in precision agriculture to observe the nutritional status of plants. The objective of this study is therefore to associate the nitrogen content and dry weight of the aerial part of maize plants (DW) with the vegetation indices obtained by multispectral aerial images (NDVIA and NDREA), and with the SPAD index and the Greenseeker NDVI, in the vegetative stage V6. To this end, randomized blocks in a factorial scheme of 6x4 (six nitrogen doses at the base and four different flight altitudes) were used, with three replications. The collected data was submitted to ANOVA with the F test (p = 0,05) and subsequent regression analysis. The... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Zea mays; Precision agriculture; Nitrogen; Computational processing.. |
| Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100216 |
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| Bazzi,Claudio L; Souza,Eduardo G; Khosla,Raj; Uribe-Opazo,Miguel A; Schenatto,Kelyn. |
| During the last few years, yield maps have become economically feasible for farmers due to technological advances in precision agriculture. However, evidence of yield profitability is still uncertain, and variability in yield has seldom been correlated to variability in profits. Differently from yield maps, profit maps can supply additional information about the economic return for each particular area of a field. The objective of the present work was to study how management decisions can be facilitated by transforming yield-map datasets into profit maps and the importance of the selection of interpolator type. Yield and profit maps were generated for each data set (three soybean fields and one corn field) using the inverse of the distance (ID), the... |
| Tipo: Journal article |
Palavras-chave: Precision agriculture; Profit map; Profitability map. |
| Ano: 2015 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202015000300007 |
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| Tavares,Tiago Rodrigues; Fiorio,Peterson Ricardo; Seixas,Hugo Tameirão; Garcia,Amparo Cisneiros; Barros,Pedro Paulo da Silva. |
| ABSTRACT: Vis-NIR-SWIR reflectance spectra of leaf samples, collected in the laboratory, allow the calibration of predictive models to quantify their physicochemical attributes in a practical manner and without producing chemical residues. This technique should enable the development of management strategies for intensification of pasture use. However, spectral analysis performed in the laboratory may be affected by the deterioration of plant material during transport from the field to the lab, so storage methods are necessary. This research aimed to evaluate the effects of different storage methods on the spectral response of Mombasa grass leaves. Three methods were evaluated: (i) artificially refrigerated environment, (ii) humid environment, and (iii)... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Diffuse reflectance spectroscopy; Hyperspectral sensors; Forage; Precision agriculture. |
| Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000300401 |
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| San Juan Martínez, Erwin. |
| El diagnóstico oportuno del estado nutrimental de los cultivos en la agricultura de precisión es de suma importancia y vitalidad; por lo que cada vez se hacen más necesarias técnicas que permitan conocer el estado nutrimental del cultivo de forma rápida, precisa y confiable. Es por ello que el presente trabajo tuvo como objetivo determinar la concentración de nitrógeno foliar en chile de agua mediante reflectancia, dicha característica se obtuvo por medio de equipos como: radiómetro (CROPSCAN), escáner de escritorio y cámara fotográfica digital, de igual forma se determinó un índice de verdor utilizando el medidor portátil SPAD Minolta 502 y, la concentración de nitrógeno foliar por el método Kjeldahl. A partir de esas mediciones y con el programa Curve... |
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Palavras-chave: Agricultura de precisión; Firmas espectrales; Nutriente; Precision agriculture; Spectral signatures; Nitrogen content; Edafología; Maestría. |
| Ano: 2014 |
URL: http://hdl.handle.net/10521/2285 |
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| Calou,Vinícius B. C.; Teixeira,Adunias dos S.; Moreira,Luis C. J.; Rocha Neto,Odílio C. da; Silva,José A. da. |
| ABSTRACT Unmanned aerial vehicles (UAVs) are a promising tool for technology development and transfer and for the economic success of the agricultural sector. The objective of this study is to assess the validity of biomass estimation in a commercial maize plantation using aerial images obtained by a UAV. The proposed methodology involved analyzing images acquired in scheduled flights, processing orthophoto (georeferenced image) data, evaluating digital terrain elevation models, and assessing the quality of dense point clouds. Data were collected using two cameras, one with a 16-megapixel flat lens and the other with a 12-megapixel fish-eye lens coupled to a UAV, at two flight altitudes (30 and 60 meters) over hybrid maize (AG1051) crop irrigated by center... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Precision agriculture; Structure from Motion; Unmanned aerial vehicles; Zea mays L. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000600744 |
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| Registros recuperados: 240 | |
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