Utilización del cultivo plurianual de pataca (Helianthus tuberosus L.) para la producción de hidratos de carbono fermentables a partir de los tallos

La pataca (Helianthus tuberosus L.) es una especie de cultivo con un alto potencial en la producción de hidratos de carbono de reserva en forma de polifructanos, especialmente inulina, que se acumulan temporalmente en los tallos en forma de polisacáridos para translocarse posteriormente a los tubérculos, donde son almacenados. Aunque tradicionalmente el producto de interés del cultivo son los tubérculos, que acumulan gran cantidad de hidratos de carbono fermentables (HCF) cuando se recogen al final del ciclo de desarrollo, en este trabajo se pretende evaluar el potencial de la pataca como productor de HCF a partir de los tallos cosechados en el momento de máximo contenido en HCF, mediante un sistema de cultivo plurianual. Se han realizado los siguientes estudios: i) Determinación del momento óptimo de cosecha en ensayos con 12 clones ii) Potencial del cultivo plurianual de la pataca en términos de producción anual de biomasa aérea y de HCF en cosechas sucesivas, iii) Ensayos de conservación de la biomasa aérea, iv) Estimación de los costes de las dos modalidades de cultivo de pataca para producción de HCF y v) Estimación de la sostenibilidad energética de la producción de bioetanol mediante la utilización de los subproductos. Para la determinación del momento óptimo de la cosecha de la biomasa aérea se ensayaron 12 clones de diferente precocidad en Madrid; 4 tempranos (Huertos de Moya, C-17, Columbia y D-19) y 8 tardíos (Boniches, China, K-8, Salmantina, Nahodka, C-13, INIA y Violeta de Rennes). El máximo contenido en HCF tuvo lugar en el estado fenológico de botón floral-flor que además coincidió con la máxima producción de biomasa aérea. De acuerdo con los resultados obtenidos, la cosecha de los clones tempranos se debería realizar en el mes de julio y en los clones tardíos en septiembre, siendo éstos últimos más productivos. La producción media más representativa entre los 12 clones, obtenida en el estado fenológico de botón floral fue de 23,40 t ms/ha (clon INIA), con un contenido medio en HCF de 30,30 % lo que supondría una producción potencial media de 7,06 t HCF/ha. La producción máxima en HCF se obtuvo en el clon Boniches con 7,61 t/ha y 22,81 t ms/ha de biomasa aérea. En el sistema de cultivo plurianual la cantidad de tallos por unidad de superficie aumenta cada año debido a la cantidad de tubérculos que van quedando en el terreno, sobre todo a partir del 3er año, lo que produce la disminución del peso unitario de los tallos, con el consiguiente riesgo de encamado. El aclareo de los tallos nacidos a principios de primavera mediante herbicidas tipo Glifosato o mediante una labor de rotocultor rebaja la densidad final de tallos y mejora los rendimientos del cultivo. En las experiencias de conservación de la biomasa aérea se obtuvo una buena conservación por un período de 6 meses de los HCF contenidos en los tallos secos empacados y almacenados bajo cubierta. Considerando que el rendimiento práctico de la fermentación alcohólica es de 0,5 l de etanol por cada kg de azúcar, la producción potencial de etanol para una cosecha de tallos de 7,06 t de HCF/ha sería de 3.530 l/ha. El bagazo producido en la extracción de los HCF de la biomasa aérea supondría 11,91 t/ha lo que utilizado para fines térmicos supone más de 3 veces la energía primaria requerida en el proceso de producción de etanol, considerando un poder calorífico inferior de 3.832,6 kcal/kg. Para una producción de HCF a partir de la biomasa aérea de 7,06 t/ha y en tubérculos al final del ciclo de 12,11 t/ha, los costes de producción estimados para cada uno de ellos fueron de 184,69 €/t para los HCF procedentes de la biomasa aérea y 311,30 €/t para los de tubérculos. Como resultado de este trabajo se puede concluir que la producción de HCF a partir de la biomasa aérea de pataca en cultivo plurianual, es viable desde un punto de vista técnico, con reducción de los costes de producción respecto al sistema tradicional de cosecha de tubérculos. Entre las ventajas técnicas de esta modalidad de cultivo, cabe destacar: la reducción de operaciones de cultivo, la facilidad y menor coste de la cosecha, y la posibilidad de conservación de los HCF en la biomasa cosechada sin mermas durante varios meses. Estas ventajas, compensan con creces el menor rendimiento por unidad de superficie que se obtiene con este sistema de cultivo frente al de cosecha de los tubérculos. Jerusalem artichoke (Helianthus tuberosus L.) (JA) is a crop with a high potential for the production of carbohydrates in the form of polyfructans, especially inulin, which are temporarily accumulated in the stems in the form of polysaccharides. Subsequently they are translocated to the tubers, where they are finally accumulated. In this work the potential of Jerusalem artichoke for fermentable carbohydrates from stems that are harvested at their peak of carbohydrates accumulation is assessed as compared to the traditional cultivation system that aims at the production of tubers harvested at the end of the growth cycle. Tubers are storage organs of polyfructans, namely fermentable carbohydrates. Studies addressed in this work were: i) Determination of the optimum period of time for stem harvesting as a function of clone precocity in a 12-clone field experiment; ii) Study of the potential of JA poly-annual crop regarding the annual yield of aerial biomass and fermentable carbohydrates (HCF) over the years; iii) Tests of storage of the aerial biomass, iv) Comparative analysis of the two JA cultivation systems for HCF production: the poly-annual system for aerial biomass harvesting versus the annual cultivation system for tubers and v) Estimation of the energy sustainability of the bioethanol production by using by-products of the production chain. In order to determine the best period of time for aerial biomass harvesting twelve JA clones of different precocity were tested in Madrid: four early clones (Huertos de Moya, C-17, Columbia and D-19) and eight late clones (Boniches, China, K-8 , Salmantina, Nahodka, C-13, INIA and Violeta de Rennes). Best time was between the phenological stages of floral buds (closed capitula) and blossom (opened capitula), period in which the peak of biomass production coincides with the peak of HCF accumulation in the stems. According to the results, the early clones should be harvested in July and the late ones in September, being the late clones more productive. The clone named INIA was the one that exhibited more steady yields in biomass over the 12 clones experimented. The average potential biomass production of this clone was 23.40 t dm/ha when harvested at the floral buds phenological stage; mean HCF content is 30.30%, representing 7.06 t HCF/ha yield. However, the highest HCF production was obtained for the clone Boniches, 7.61 t HCF/ha from a production of 22.81 t aerial biomass/ha. In the poly-annual cultivation system the number of stems per unit area increases over the years due to the increase in the number of tubers that are left under ground; this effect is particularly important after the 3rd year of the poly-annual crop and results in a decrease of the stems unit weight and a risk of lodging. Thinning of JA shoots in early spring, by means of an herbicide treatment based on glyphosate or by means of one pass with a rotary tiller, results in a decrease of the crop stem density and in higher crop yields. Tests of biomass storing showed that the method of keeping dried stems packed and stored under cover results in a good preservation of HCF for a period of six months at least. Assuming that the fermentation yield is 0.5 L ethanol per kg sugars and a HCF stem production of 7.06 t HCF/ha, the potential for bioethanol is estimated at 3530 L/ha. The use of bagasse -by-product of the process of HCF extraction from the JA stems- for thermal purposes would represent over 3 times the primary energy required for the industrial ethanol production process, assuming 11.91 t/ha bagasse and 3832.6 kcal/kg heating value. HCF production costs of 7.06 t HCF/ha yield from aerial biomass and HCF production costs of 12.11 t HCF/ha from tubers were estimated at 184.69 €/t HCF and 311.30 €/t HCF, respectively. It can be concluded that the production of HCF from JA stems, following a poly-annual cultivation system, can be feasible from a technical standpoint and lead to lower production costs as compared to the traditional annual cultivation system for the production of HCF from tubers. Among the technical advantages of the poly-annual cultivation system it is worth mentioning the reduction in crop operations, the ease and efficiency of harvesting operations and the possibility of HCF preservation without incurring in HCF losses during the storage period, which can last several months. These advantages might compensate the lower yield of HCF per unit area that is obtained in the poly-annual crop system, which aims at stems harvesting, versus the annual one, which involves tubers harvesting.

Influence of denitrifiers abundance on N2O emissions in long term tillage system under a rainfed legume crop

Current studies about nitrous oxide (N2O) emissions from legume crops have raised considerable doubt, observing a high variability between sites (0.03-7.09 kg N2O–N ha−1 y -1) [1]. This high variability has been associated to climate and soil conditions, legume species and soil management practices (e.g. conservation or conventional tillage). Conservation tillage (i.e. no tillage (NT) and minimum tillage (MT)) has spread during the last decades because promotes several positive effects (increase of soil organic content, reduction of soil erosion and enhancement of carbon (C) sequestration). However, these benefits could be partly counterbalanced by negative effects on the release of N2O emissions. Among processes responsible for N2O production and consumption in soils, denitrification plays an importantrole both in tilled and no-tilled ropping systems [2]. Recently, amplification of functional bacterial genes involved in denitrification is being used to examine denitrifiers abundance and evaluate their influence on N2O emissions. NirK and nirS are functional genes encoding the cytochrome cd1 and copper nitrite reductase, which is the key enzyme regulating the denitrification process.

Automatic expert system based on images for accuracy crop row detection in maize fields

This paper proposes an automatic expert system for accuracy crop row detection in maize fields based on images acquired from a vision system. Different applications in maize, particularly those based on site specific treatments, require the identification of the crop rows. The vision system is designed with a defined geometry and installed onboard a mobile agricultural vehicle, i.e. submitted to vibrations, gyros or uncontrolled movements. Crop rows can be estimated by applying geometrical parameters under image perspective projection. Because of the above undesired effects, most often, the estimation results inaccurate as compared to the real crop rows. The proposed expert system exploits the human knowledge which is mapped into two modules based on image processing techniques. The first one is intended for separating green plants (crops and weeds) from the rest (soil, stones and others). The second one is based on the system geometry where the expected crop lines are mapped onto the image and then a correction is applied through the well-tested and robust Theil–Sen estimator in order to adjust them to the real ones. Its performance is favorably compared against the classical Pearson product–moment correlation coefficient.

Replacing bare fallow with cover crops in an irrigated cropping system: soil salinity and salt leaching

In irrigated areas where cover crop establishment can be assured, consequent soil or nutrient conservation could increase sustainability of cropping systems. Replacing bare fallow with cover crops may increase sustainability by enhancing soil aggregate stability, water retention capacity or controlling nitrate leaching. Nevertheless, adoption of cover crops increase evapotranspiration and reduce water percolation beyond the root systems; therefore, it could lead to salt accumulation in the upper soil layers. This study was conducted during four years to determine the effect of replacing bare fallow by a cover crop on soil salt accumulation and salt leaching in an irrigated maize production system.

Evapotranspiration of grapevine trained to a gable trellis system under netting and black plastic mulching

The evapotranspiration (ET c) of a table grape vineyard (Vitis vinifera, cv. Red Globe) trained to a gable trellis under netting and black plastic mulching was determined under semiarid conditions in the central Ebro River Valley during 2007 and 2008. The netting was made of high-density polyethylene (pores of 12 mm2) and was placed just above the ground canopy about 2.2 m above soil surface. Black plastic mulching was used to minimize soil evaporation. The surface renewal method was used to obtain values of sensible heat flux (H) from high-frequency temperature readings. Later, latent heat flux (LE) values were obtained by solving the energy balance equation. For the May–October period, seasonal ET c was about 843 mm in 2007 and 787 mm in 2008. The experimental weekly crop coefficients (K cexp) fluctuated between 0.64 and 1.2. These values represent crop coefficients adjusted to take into account the reduction in ET c caused by the netting and the black plastic mulching. Average K cexp values during mid- and end-season stages were 0.79 and 0.98, respectively. End-season K cexp was higher due to combination of factors related to the precipitation and low ET o conditions that are typical in this region during fall. Estimated crop coefficients using the Allen et al. (1998) approach adjusting for the effects of the netting and black plastic mulching (K cFAO) showed a good agreement with the experimental K cexp values.

Real-time image processing for crop/weed discrimination in maize fields

This paper presents a computer vision system that successfully discriminates between weed patches and crop rows under uncontrolled lighting in real-time. The system consists of two independent subsystems, a fast image processing delivering results in real-time (Fast Image Processing, FIP), and a slower and more accurate processing (Robust Crop Row Detection, RCRD) that is used to correct the first subsystem's mistakes. This combination produces a system that achieves very good results under a wide variety of conditions. Tested on several maize videos taken of different fields and during different years, the system successfully detects an average of 95% of weeds and 80% of crops under different illumination, soil humidity and weed/crop growth conditions. Moreover, the system has been shown to produce acceptable results even under very difficult conditions, such as in the presence of dramatic sowing errors or abrupt camera movements. The computer vision system has been developed for integration into a treatment system because the ideal setup for any weed sprayer system would include a tool that could provide information on the weeds and crops present at each point in real-time, while the tractor mounting the spraying bar is moving

Continuous multi-criteria methods for crop and soil conservation planning on La Colacha (Río Cuarto, Province of Cordoba, Argentina)

Agro-areas of Arroyos Menores (La Colacha) west and south of Rand south of R?o Cuarto (Prov. of Cordoba, Argentina) basins are very fertile but have high soil loses. Extreme rain events, inundations and other severe erosions forming gullies demand urgently actions in this area to avoid soil degradation and erosion supporting good levels of agro production. The authors first improved hydrologic data on La Colacha, evaluated the systems of soil uses and actions that could be recommended considering the relevant aspects of the study area and applied decision support systems (DSS) with mathematic tools for planning of defences and uses of soils in these areas. These were conducted here using multi-criteria models, in multi-criteria decision making (MCDM); first of discrete MCDM to chose among global types of use of soils, and then of continuous MCDM to evaluate and optimize combined actions, including repartition of soil use and the necessary levels of works for soil conservation and for hydraulic management to conserve against erosion these basins. Relatively global solutions for La Colacha area have been defined and were optimised by Linear Programming in Goal Programming forms that are presented as Weighted or Lexicographic Goal Programming and as Compromise Programming. The decision methods used are described, indicating algorithms used, and examples for some representative scenarios on La Colacha area are given.

Sum Insured Determination for Cereal, Citrus and Vineyards in the Spanish Agricultural Insurance System.

In general, insurance is a form of risk management used to hedge against a contingent loss. The conventional definition is the equitable transfer of a risk of loss from one entity to another in exchange for a premium or a guaranteed and quantifiable small loss to prevent a large and possibly devastating loss being agricultural insurance a special line of property insurance. Agriculture insurance, as actually are designed in the Spanish scenario, were established in 1978. At the macroeconomic insurance studies scale, it is necessary to know a basic element for the insurance actuarial components: sum insured. When a new risk assessment has to be evaluated in the insurance framework, it is essential to determinate venture capital in the total Spanish agriculture. In this study, three different crops (cereal, citrus and vineyards) cases are showed to determinate sum insured as they are representative of the cases found in the Spanish agriculture. Crop sum insured is calculated by the product of crop surface, unit surface production and crop price insured. In the cereal case, winter as spring cereal sowing, represents the highest Spanish crop surface, above to 6 millions of hectares (ha). Meanwhile, the four citrus species (oranges, mandarins, lemons and grapefruits) occupied an extension just over 275.000 ha. On the other hand, vineyard target to wine process shows almost one million of ha in Spain.

Automatic detection of crop rows in maize fields with high weeds pressure

This paper proposes a new method, oriented to crop row detection in images from maize fields with high weed pressure. The vision system is designed to be installed onboard a mobile agricultural vehicle, i.e. submitted to gyros, vibrations and undesired movements. The images are captured under image perspective, being affected by the above undesired effects. The image processing consists of three main processes: image segmentation, double thresholding, based on the Otsu’s method, and crop row detection. Image segmentation is based on the application of a vegetation index, the double thresholding achieves the separation between weeds and crops and the crop row detection applies least squares linear regression for line adjustment. Crop and weed separation becomes effective and the crop row detection can be favorably compared against the classical approach based on the Hough transform. Both gain effectiveness and accuracy thanks to the double thresholding that makes the main finding of the paper.

Crop row detection in maize fields inspired on the human visual perception

This paper proposes a new method, oriented to image real-time processing, for identifying crop rows in maize fields in the images. The vision system is designed to be installed onboard a mobile agricultural vehicle, that is, submitted to gyros, vibrations, and undesired movements. The images are captured under image perspective, being affected by the above undesired effects. The image processing consists of two main processes: image segmentation and crop row detection. The first one applies a threshold to separate green plants or pixels (crops and weeds) from the rest (soil, stones, and others). It is based on a fuzzy clustering process, which allows obtaining the threshold to be applied during the normal operation process. The crop row detection applies a method based on image perspective projection that searches for maximum accumulation of segmented green pixels along straight alignments. They determine the expected crop lines in the images. The method is robust enough to work under the above-mentioned undesired effects. It is favorably compared against the well-tested Hough transformation for line detection.

Even-sowing pattern strategies for a low-input agricultural system in forage maize

The objective of this study was to verify the effectiveness of new patterns of sowing and to achieve a low-input organic system in two different environments (northern and southern Europe). The study was motivated by the hypothesis that more even sowing patterns (triangular and square) would significantly enhance the growth and yield of forage maize under widely varying conditions, compared with traditional mechanised rectangular seed patterns. An experiment was conducted in Madrid and duplicated in Copenhagen during 2010. A random block design was used with a 2 × 2 factorial arrangement based on two seed-sowing patterns: traditional (rectangular) and new (even) and two weed-management conditions (herbicide use and a low-input system). In both weed-management conditions and locations, the production of aerial maize biomass was greater for the new square seed patterns. In addition, the new pattern showed a greater effectiveness in the control of weeds, both at the initial crop stages (36 and 33% fewer weeds m-2 at the 4- and 8-leaf stages, respectively, in the Copenhagen field experiment) and at the final stage. The final weed biomass for the new pattern was 568 kg ha-1 lower for the Copenhagen experiment and 277 kg ha-1 lower in Madrid field experiments. In the light of these results, the new pattern could potentially reduce the use of herbicides. The results of the experiments support the hypothesis formulated at the beginning of this study that even-sowing patterns would be relatively favourable for the growth and yield of the maize crop. In the near future, new machinery could be used to achieve new seed patterns for the optimisation of biomass yield under low-input systems. This approach is effective because it promotes natural crop-weed competition.

Remote sensing of LAI, chlorophyll and leaf nitrogen pools of crop- and grasslands in five European landscapes.

Leaf nitrogen and leaf surface area influence the exchange of gases between terrestrial ecosystems and the atmosphere, and play a significant role in the global cycles of carbon, nitrogen and water. The purpose of this study is to use field-based and satellite remote-sensing-based methods to assess leaf nitrogen pools in five diverse European agricultural landscapes located in Denmark, Scotland (United Kingdom), Poland, the Netherlands and Italy. REGFLEC (REGularized canopy reFLECtance) is an advanced image-based inverse canopy radiative transfer modelling system which has shown proficiency for regional mapping of leaf area index (LAI) and leaf chlorophyll (CHLl) using remote sensing data. In this study, high spatial resolution (10–20 m) remote sensing images acquired from the multispectral sensors aboard the SPOT (Satellite For Observation of Earth) satellites were used to assess the capability of REGFLEC for mapping spatial variations in LAI, CHLland the relation to leaf nitrogen (Nl) data in five diverse European agricultural landscapes. REGFLEC is based on physical laws and includes an automatic model parameterization scheme which makes the tool independent of field data for model calibration. In this study, REGFLEC performance was evaluated using LAI measurements and non-destructive measurements (using a SPAD meter) of leaf-scale CHLl and Nl concentrations in 93 fields representing crop- and grasslands of the five landscapes. Furthermore, empirical relationships between field measurements (LAI, CHLl and Nl and five spectral vegetation indices (the Normalized Difference Vegetation Index, the Simple Ratio, the Enhanced Vegetation Index-2, the Green Normalized Difference Vegetation Index, and the green chlorophyll index) were used to assess field data coherence and to serve as a comparison basis for assessing REGFLEC model performance. The field measurements showed strong vertical CHLl gradient profiles in 26% of fields which affected REGFLEC performance as well as the relationships between spectral vegetation indices (SVIs) and field measurements. When the range of surface types increased, the REGFLEC results were in better agreement with field data than the empirical SVI regression models. Selecting only homogeneous canopies with uniform CHLl distributions as reference data for evaluation, REGFLEC was able to explain 69% of LAI observations (rmse = 0.76), 46% of measured canopy chlorophyll contents (rmse = 719 mg m−2) and 51% of measured canopy nitrogen contents (rmse = 2.7 g m−2). Better results were obtained for individual landscapes, except for Italy, where REGFLEC performed poorly due to a lack of dense vegetation canopies at the time of satellite recording. Presence of vegetation is needed to parameterize the REGFLEC model. Combining REGFLEC- and SVI-based model results to minimize errors for a "snap-shot" assessment of total leaf nitrogen pools in the five landscapes, results varied from 0.6 to 4.0 t km−2. Differences in leaf nitrogen pools between landscapes are attributed to seasonal variations, extents of agricultural area, species variations, and spatial variations in nutrient availability. In order to facilitate a substantial assessment of variations in Nl pools and their relation to landscape based nitrogen and carbon cycling processes, time series of satellite data are needed. The upcoming Sentinel-2 satellite mission will provide new multiple narrowband data opportunities at high spatio-temporal resolution which are expected to further improve remote sensing capabilities for mapping LAI, CHLl and Nl.

Probabilistic analysis of water availability for agriculture and associated crop net margins.

Rising water demands are difficult to meet in many regions of the world. In consequence, under meteorological adverse conditions, big economic losses in agriculture can take place. This paper aims to analyze the variability of water shortage in an irrigation district and the effect on farmer?s income. A probabilistic analysis of water availability for agriculture in the irrigation district is performed, through a supply-system simulation approach, considering stochastically generated series of stream-flows. Net margins associated to crop production are as well estimated depending on final water allocations. Net margins are calculated considering either single-crop farming, either a polyculture system. In a polyculture system, crop distribution and water redistribution are calculated through an optimization approach using the General Algebraic Modeling System (GAMS) for several scenarios of irrigation water availability. Expected net margins are obtained by crop and for the optimal crop and water distribution. The maximum expected margins are obtained for the optimal crop combination, followed by the alfalfa monoculture, maize, rice, wheat and finally barley. Water is distributed as follows, from biggest to smallest allocation: rice, alfalfa, maize, wheat and barley.

N2O emissions and N efficiency due to tillage systems and crop rotation under a rainfed Mediterranean agroecosystem

Application of nitrogen (N) fertilizers in agricultural soils increases the risk of N loss to the atmosphere in the form of ammonia (NH3), nitrous oxide (N2O) and nitric oxide (NO)and the water bodies as nitrate (NO3-). The implementation of agricultural management practices can affect these losses. In Mediterranean irrigation systems, the greatest losses of NO3-through leaching occur within the irrigation and the intercropperiod. One way to abate these losses during the intercrop period is the use of cover crops that absorb part of the residual N from the root zone (Gabriel and Quemada, 2011). Moreover, during the following crop, these species could be applied as amendments to the soil, providing both C and N to the soil. This effect of cover and catch crops on decreasing the pool of N potentially lost has focused primarily on NO3-leaching. The aim of this work was to evaluate the effect of cover crops on N2O emission during the in tercrop period in a maize system and its subsequent incorporation into the soil in the following maize crop.

Discriminating Crop, Weeds and Soil Surface with a Terrestrial LIDAR Sensor

In this study, the evaluation of the accuracy and performance of a light detection and ranging (LIDAR) sensor for vegetation using distance and reflection measurements aiming to detect and discriminate maize plants and weeds from soil surface was done. The study continues a previous work carried out in a maize field in Spain with a LIDAR sensor using exclusively one index, the height profile. The current system uses a combination of the two mentioned indexes. The experiment was carried out in a maize field at growth stage 12–14, at 16 different locations selected to represent the widest possible density of three weeds: Echinochloa crus-galli (L.) P.Beauv., Lamium purpureum L., Galium aparine L.and Veronica persica Poir.. A terrestrial LIDAR sensor was mounted on a tripod pointing to the inter-row area, with its horizontal axis and the field of view pointing vertically downwards to the ground, scanning a vertical plane with the potential presence of vegetation. Immediately after the LIDAR data acquisition (distances and reflection measurements), actual heights of plants were estimated using an appropriate methodology. For that purpose, digital images were taken of each sampled area. Data showed a high correlation between LIDAR measured height and actual plant heights (R 2 = 0.75). Binary logistic regression between weed presence/absence and the sensor readings (LIDAR height and reflection values) was used to validate the accuracy of the sensor. This permitted the discrimination of vegetation from the ground with an accuracy of up to 95%. In addition, a Canonical Discrimination Analysis (CDA) was able to discriminate mostly between soil and vegetation and, to a far lesser extent, between crop and weeds. The studied methodology arises as a good system for weed detection, which in combination with other principles, such as vision-based technologies, could improve the efficiency and accuracy of herbicide spraying.