Evoluçao e aplicaçao da mecatronica em maquinas agricolas.

Em Ciências Agronómicas, a constante adoção de novas tecnologias, faz com que cada vez mais se alargue o conhecimento em torno de novas áreas técnicas e científicas. Hoje, a incorporação de sistemas mecatrónicos na arquitetura de conceção de tratores e máquinas agrícolas, além de tornar a máquina mais amiga do operador, tem permitido a otimização da sua utilização e rentabilidade de operação. O significado de Mecatrónica e algumas considerações sobre a sua aplicação em máquinas agrícolas são descritas neste artigo.

Usando Kinect como sensor para una pulverización inteligente.

Este trabajo esta orientado a resolver el problema de la caracterización de la copa de arboles frutales para la aplicacion localizada de fitosanitarios. Esta propuesta utiliza un mapa de profundidad (Depth image) y una imagen RGB combinadas (RGB-D), proporcionados por el sensor Kinect de Microsoft, para aplicar pesticidas de forma localizada. A través del mapa de profundidad se puede estimar la densidad de la copa y a partir de esta información determinar qué boquillas se deben abrir en cada momento. Se desarrollaron algoritmos implementados en Matlab que permiten además de la adquisición de las imágenes RGB-D, aplicar plaguicidas sólo a hojas y/o frutos según se desee. Estos algoritmos fueron implementados en un software que se comunica con el entorno de desarrollo "Kinect Windows SDK", encargado de extraer las imágenes desde el sensor Kinect. Por otra parte, para identificar hojas, se implementaron algoritmos de clasificación e identificación. Los algoritmos de clasificación utilizados fueron "Fuzzy C-Means con Gustafson Kessel" (FCM-GK) y "K-Means". Los centroides o prototipos de cada clase generados por FCM-GK fueron usados como semilla para K-Means, para acelerar la convergencia del algoritmo y mantener la coherencia temporal en los grupos generados por K-Means. Los algoritmos de clasificación fueron aplicados sobre las imágenes transformadas al espacio de color L*a*b*; específicamente se emplearon los canales a*, b* (canales cromáticos) con el fin de reducir el efecto de la luz sobre los colores. Los algoritmos de clasificación fueron configurados para buscar cuatro grupos: hojas, porosidad, frutas y tronco. Una vez que el clasificador genera los prototipos de los grupos, un clasificador denominado Máquina de Soporte Vectorial, que utiliza como núcleo una función Gaussiana base radial, identifica la clase de interés (hojas). La combinación de estos algoritmos ha mostrado bajos errores de clasificación, rendimiento del 4% de error en la identificación de hojas. Además, estos algoritmos de procesamiento de hasta 8.4 imágenes por segundo, lo que permite su aplicación en tiempo real. Los resultados demuestran la viabilidad de utilizar el sensor "Kinect" para determinar dónde y cuándo aplicar pesticidas. Por otra parte, también muestran que existen limitaciones en su uso, impuesta por las condiciones de luz. En otras palabras, es posible usar "Kinect" en exteriores, pero durante días nublados, temprano en la mañana o en la noche con iluminación artificial, o añadiendo un parasol en condiciones de luz intensa.

Spatial variability of seed depth placement of maize under no tillage.

Among the various factors that contribute towards producing a successful maize crop, seed depth placement is a key determinant, especially in a no-tillage system. The main objective of this work was to evaluate the spatial variability of seed depth placement and crop establishment in a maize crop under no-tillage conditions, using precision farming technologies. The obtained results indicate that seed depth placement was significantly affected by soil moisture content, while a very high coefficient of variation of 39% was found for seed depth. Seeding depth had a significant impact on mean emergence time and percentage of emerged plants. Shallow average depth values and the high coefficient of variation suggest a need for improvement in controlling the seeder sowing depth.

Active Optical Sensors for Tree Stem Detection and Classification in Nurseries.

Active optical sensing (LIDAR and light curtain transmission) devices mounted on a mobile platform can correctly detect, localize, and classify trees. To conduct an evaluation and comparison of the different sensors, an optical encoder wheel was used for vehicle odometry and provided a measurement of the linear displacement of the prototype vehicle along a row of tree seedlings as a reference for each recorded sensor measurement. The field trials were conducted in a juvenile tree nursery with one-year-old grafted almond trees at Sierra Gold Nurseries, Yuba City, CA, United States. Through these tests and subsequent data processing, each sensor was individually evaluated to characterize their reliability, as well as their advantages and disadvantages for the proposed task. Test results indicated that 95.7% and 99.48% of the trees were successfully detected with the LIDAR and light curtain sensors, respectively. LIDAR correctly classified, between alive or dead tree states at a 93.75% success rate compared to 94.16% for the light curtain sensor. These results can help system designers select the most reliable sensor for the accurate detection and localization of each tree in a nursery, which might allow labor-intensive tasks, such as weeding, to be automated without damaging crops.

Comparación de desempeño de una cámara de profundidad comercial y un LIDAR en explotaciones agrícolas.

Este estudio presenta una comparativa entre un LIDAR modelo LMS-111 (Sick Ltd.) y una cámara de profundidad de uso doméstico: Kinect (Microsoft Corporation), orientada a determinar las condiciones de uso de uno y otro sensor, así como sus ventajas e inconvenientes cuando son empleados en condiciones de campo, en una explotación agrícola. Para ello se realizaron diversos ensayos en una parcela experimental del CSIC-CAR de Arganda del Rey, España. Para los ensayos ambos sensores fueron instalados en un tractor operado remotamente diseñado y construido en el marco del proyecto europeo RHEA. Dicho tractor realizó dos recorridos diferentes: el primero se efectuó en paralelo a un muro y el segundo paralelo a una hilera de olivos. El primer ensayo se realizó con el propósito de cuantificar la uniformidad de las mediciones de ambos sensores y el segundo para validar los resultados en un cultivo real. Los recorridos se realizaron empleando cuatro marchas diferentes, con el objetivo de determinar si los diferentes regímenes de operación del motor influyen sobre la precisión de los sensores. Los resultados muestran que el LIDAR posee un mayor alcance máximo de medición, pero una resolución menor frente a Kinect, muestran además que el LIDAR puede ser operado a cualquier hora del día y condición meteorológica, mientras que Kinect, no puede operar en exteriores, salvo en horas del día con baja intensidad lumínica. Por otra parte la gran desventaja del LIDAR es su coste, 30 veces más alto que Kinect.

Short-term effects of four tillage practices on soil physical properties, soil water potential, and maize yield

The area cultivated using conservation tillage has recently increased in central Spain. However, soil compaction and water retention with conservation tillage still remains a genuine concern for landowners in this region be- cause of its potential effect on the crop growth and yield. The aim of this research is to determine the short- term influences of four tillage treatments on soil physical properties. In the experiment, bulk density, cone index, soil water potential, soil temperature and maize (Zea mays L.) productivity have been measured. A field experiment was established in spring of 2013 on a loamy soil. The experiment compared four tillage methods (zero tillage, ZT; reservoir tillage, RT; minimum tillage, MT; and conventional tillage, CT). Soil bulk density and soil cone index were measured during maize growing season and at harvesting time. Furthermore, the soil water potential was monitored by using a wireless sensors network with sensors at 20 and 40 cm depths. Also, soil temperatures were registered at depths of 5 and 12 cm. Results indicated that there were significant differ- ences between soil bulk density and cone index of ZT method and those of RT, MT, and CT, during the growing season; although, this difference was not significant at the time of harvesting in some soil layers. Overall, in most soil layers, tillage practice affected bulk density and cone index in the order: ZT N RT N MT N CT. Regardless oftheentireobservationperiod,results exhibited that soils under ZT and RT treatments usually resulted in higher water potential and lower soil temperature than the other two treatments at both soil depths. In addition, clear differences in maize grain yield were observed between ZT and CT treatments, with a grain yield (up to 15.4%) increase with the CT treatment. On the other hand, no significant differences among (RT, MT, and CT) on maizeyieldwerefound.Inconclusion,the impact of soil compaction increase and soil temperature decrease,pro- duced by ZT treatment is a potential reason for maize yield reduction in this tillage method. We found that RT could be certainly a viable option for farmers incentral Spain,particularly when switching to conservation tillage from conventional tillage. This technique showed a moderate and positive effect on soil physical properties and increased maize yields compared to ZT and MT, and provides an opportunity to stabilize maize yields compared to CT.

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.

Drones en la agricultura

Los drones sobrevuelan la parcela (previa fijación de sus límites con las coordenadas GPS) y toman fotografías de alta resolución que envían al ordenador central, donde se analizan para localizar malas hierbas y enviar a los tractores robotizados a realizar tratamientos donde haya infestación. A la espera de una legislación europea, el Gobierno Español ha aprobado unas normas provisiona-les que permiten utilizar drones para la realización de trabajos aéreos como son actividades de investigación y desarrollo de tratamientos aéreos, fitosanitarios u otros que supongan esparcir sustancias en el suelo o la atmósfera

Innovaciones en cosechadoras de grano: el poder de las patentes

Una forma distinta de mirar al futuro cercano en un sector es bucear por las patentes más recientes,adivinar las que llegarán a convertirse en desarrollos industriales viables,y ser a usados finalmente por los compradores.Así lo hemos hecho en este artículo,que reúne un variopinto conjunto de diseños e inventos,algunos simplemente curiosos,otros muy acertados y aplicables.

Nuevos desarrollos de hoy hacia el tractor del mañana

Los tractores agrícolas siguen incorporando novedades que en su mayoría se orientan a conseguir un funcionamiento más eficiente y limpio o a desarrollos electrónicos que automatizan cada día más tarea

Same Virtus 120, versatilidad y economía sin complicaciones

El pasado día 17 de junio de 2014 tuvimos la oportunidad de realizar ensayos en campo a un tractor Same Virtus 120, en las instalaciones que la empresa posee junto a Toledo. La prueba de laboreo se realizó con un cultivador Kverneland CLC Evo con nueve brazos amortiguados con ballestas, rejas rectas y 2,4 m de anchura.También realizamos una prueba de transporte de un remolque con cebada, y evaluamos la maniobrabilidad y frenada del tractor.

Sistema Topcon 350: guiado hacia la agricultura de precisión

En este artículo presentamos las características técnicas principales, el procedimiento de calibración y uso, así como las sensaciones que tuvimos al probar el sistema de guiado 350 de Topcon durante una jornada de campo el 20 de diciembre de 2012 en Yuncos de Henares (Guadalajara)

Ultimas novedades en cosechadoras de cereal y maíz

Las mejoras vienen de la mano de la electrónica y los diseños mecánicos optimizados, para ofrecer al propietario mayores cotas de confort, capacidad de trabajo y respeto al medioambiente, lo que redunda en conjunto en una mayor rentabilidad. Muchas de las innovaciones más recientes en el sector de cosechadoras de grano se centran en la implementación de sensores y sistemas de gestión de la información y ayuda a la decisión, que es el campo más activo actualmente en términos de desarrollo en maquinaria agrícola

Variabilidade espacial de uma cultura de milho (Zea mays): influência da distribuiçao vertical de semente

Com o objetivo de estudar a influência da distribuição vertical de semente na variabilidade espacial da implantação de uma cultura de milho em diferentes sistemas de preparação do solo (mobilização convencional, mobilização mínima e sementeira direta), realizaram-se nas campanhas de 2011 e 2012 dois ensaios de campo na região do Alentejo. A avaliação da distribuição vertical de semente fez-se pela determinação da profundidade de sementeira medindo o comprimento do mesocótilo em plântulas de milho. Em sementeira direta foram ainda testadas duas velocidades de trabalho. Os resultados demonstraram que o melhor desempenho de distribuição vertical da semente foi conseguido em sementeira direta com o aumento de velocidade de trabalho de 4 para 6 km h-1 (com um coeficiente de variação, CV, de 10,1%). Uma ANOVA de duplo fator demonstrou que a resistência mecânica do solo e a velocidade de trabalho determinaram diferenças significativas na profundidade de sementeira; a profundidade de sementeira causou diferenças significativas no tempo médio (TME) e percentagem de emergência (PE) da cultura. Os elevados CV observados sugerem a necessidade de uma melhor calibração dos dispositivos de controlo de profundidade dos semeadores por parte dos operadores em campo ou o aperfeiçoamento dos mesmos.

Effect of integrated reservoir tillage for in-situ rainwater harvesting and other tillage practices on soil physical properties

There is a need for in-situ soil moisture conservation in arid and semi-arid regions due to insufficient rainfall for agriculture. For this purpose, a combination implement [integrated reservoir tillage system (RT)] comprised of a single-row chisel plow, single-row spike tooth harrow, modified seeder, and spiked roller was developed and compared to the popular tillage practices, viz., minimum tillage (MT) and conventional tillage (CT) in an arid Mediterranean environment in Egypt. The different tillage practices were conducted at tillage depths of 15, 20, and 25 cm and forward speeds of 0.69, 1, 1.25, and 1.53 m s-1. Some soil physical properties, runoff, soil loss, water harvesting efficiency and yield of wheat were evaluated. The different tillage practices caused significant differences in soil physical properties as the RT increased soil infiltration, producing a rate of 48% and 65% higher than that obtained in MT and CT, respectively. The lowest values of runoff and soil loss were recorded under RT as 4.91 mm and 0.65 t ha-1, whereas the highest values were recorded under CT as 11.36 mm and 1.66 t ha-1, respectively. In conclusion, the RT enhanced the infiltration rate, increased water harvesting efficiency, reduced runoff and achieved the highest yield of wheat. The best tillage operating parameters appeared to be at a tillage depth of 20 cm and speed between 1.00 and 1.25 m s-1.