Adaptive modeling and control of a manure spreader for precision agriculture

Krishnan, Manu; Foster, C.A.; Strosser, Richard; Glancey, James L.; Sun, Jian‐Qiao

doi:10.1016/j.compag.2005.11.005

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…Several investigators have been reported that assess the impacts of precision agriculture technologies can not only decrease costs, but can also increase yields. Furthermore, accurately applying chemicals and fertilizers only where needed reduces the impact for contaminations in ground and surface (Krishnan et al, 2006).…”

Section: Iot Techniques For Reduction Of Water Air and Soil Pollutiomentioning

confidence: 99%

Mitigation Techniques for Agricultural Pollution by Precision Technologies with a Focus on the Internet of Things (IoTs): A Review

Narmilan

Puvanitha

2020

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The widespread of Information and Communication Technology (ICT) in the past decades brought numerous advantages to many individuals and most of the organizations everywhere in the world. In the 21st century, the most significant technology is the Internet of Things (IoTs) which has developed rapidly covering most of applications in the health, civil, military and agriculture sectors also. Precision Agriculture (PA), as the combination of information, communication and control technologies in agronomic practices, is emerging time by time. Also, precision agriculture is considered a smart farming system on the basis of modern technologies to regulate, examine and manage changes inside an agricultural field for cost-effectiveness, sustainability and optimal protection of environment. Meanwhile, agricultural practices are contributing to environmental pollution due to poor management which is further disturbing food security, health and climate. One of the best strategies to overcome this challenge can be introducing the deployment of precision technologies for the development of agricultural productivity while reducing the environmental degradation. Therefore, the key objective of this review was to discuss the mitigation techniques for agricultural pollution and enhance the agricultural production by smart technologies like IoTs. This paper summarizes the main categories of IoTs, Precision Agriculture, agricultural pollution and finally, mitigation practices on environmental degradation.

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Section: Iot Techniques For Reduction Of Water Air and Soil Pollutiomentioning

confidence: 99%

Mitigation Techniques for Agricultural Pollution by Precision Technologies with a Focus on the Internet of Things (IoTs): A Review

Narmilan

Puvanitha

2020

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“…Precision agriculture has a good impact on the agriculture sector. Approaches using precision agriculture help to reduce costs and maximize yields [12]. Cost reduction and increased yields encourage increased profits for farmers.…”

Section: A Precision Farmingmentioning

confidence: 99%

Developing Agriculture Land Mapping using Rapid Application Development (RAD): A Case Study from Indonesia

Chrismanto¹,

Santoso²,

Wibowo³

et al. 2019

IJACSA

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The use of Information and Communication Technology (ICT) in agriculture has become one of the steps to improve agricultural efficiency, effectiveness, productivity, and also expected to encourage the creation of Precision Agriculture. Precision agriculture has an impact on the efficiency of operational costs to increase margins in the production of agricultural products using ICTs. One of the problems that often arise in agriculture is related to the management of agricultural land in each farmer group area. This information is closely related to the needs of agricultural production facilities and infrastructure, such as the need for fertilizers, seeds, and other resources. Web Mapping System is one of the systems to assist in land or area mapping. In this study, the Web Mapping System is expected to be used to help at agricultural land mapping, owned by farmer members of farmer groups. The developed system will store spatial data from farmland members and farmer groups. The Web Mapping System was developed using the Rapid Application Development (RAD) method, where there are several iterative processes. The result of this study is the Web Mapping System for agricultural land. With this application, farmers can find out the status of the land being cultivated or owned. In addition, the Web Mapping System can record the status of the existing land in a farmer group and the need for agricultural production facilities and infrastructure. Further, the Web Mapping System also provides information in a dashboard that can help farmer groups to manage the land owned by each farmer who is a member of the group.

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“…Estos desechos orgánicos son clasificados en sólidos (con un 20 % de materia seca); purines que resulta de la mezcla de boñiga, agua y orines (5 a 15 % de materia seca) y aguas verdes (diluidos) con menos de 5 % de materia seca (López et al, 2008). Cada uno de ellos requiere un tratamiento diferente y en particular, los dos últimos pueden ser manejados por bombas, sistemas de irrigación y tanques de aspersión en el campo o en potreros (Fulhage, 1997;Krishnan et al, 2006), los cuales son considerados en la actualidad como bio-fertilizantes amigables con el ambiente (Yadav y Pawar, 2015).…”

Section: Introductionunclassified

Capacidad de descarga de purines de un tanque distribuidor de boñiga líquida

Boschin-Figueroa

Vargas-Rodríguez

2020

Agron. Mesoam.

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Introducción. La boñiga líquida puede mejorar la estructura del suelo y la productividad de los cultivos, pero se necesita equipo calibrado para lograr una distribución uniforme. Objetivo. El objetivo del presente trabajo fue determinar, a nivel de campo, las combinaciones apropiadas de operación de un tanque de distribución de boñigalíquida y un tractor que lo comanda, para lograr una distribución uniforme de purines y boñiga diluida. Materiales y métodos. El experimento se realizó durante julio de 2016 en la Estación Experimental Alfredo Volio Mata de la Universidad de Costa Rica, en Ochomogo de Cartago, Costa Rica. Se utilizó un terreno de 5000 m2 arado y rastreado, donde se colocaron veinte recipientes plásticos, dispuestos en dos hileras, separados 4 m entre y dentro hileras. Se usó un tanque boñiguero acoplado a un tractor y los tratamientos fueron cuatro velocidades de desplazamiento (cuatro marchas bajas del tractor), y un grado fijo de aceleración (442 rpm). Las variables medidas fueron la capacidad y el volumen de descarga por unidad de área, y el área cubierta. Resultados. La descarga y dispersión de boñiga líquida en las diferentes marchas fue altamente significativa (p<0,01), la descarga por unidad de área fue mayor en las marchas más bajas. Se cuantificó la descarga relativa entre las diferentes velocidades de trabajo, y se fijó en 100 % la descarga mayor (marcha I) equivalente a 52 m3 ha-1, en la marcha II la descarga relativa fue de un 65 % respecto a la primera. En las marchas III y IV, los volúmenes fueron de 24 y 17 m3 ha-1, respectivamente. Conclusión. Las marchas bajas distribuyeron mayor cantidad de material por m2 favorable en cultivos más demandantes, mientras que con las marchas altas se puede cubrir más área con menor cantidad de material.

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Adaptive modeling and control of a manure spreader for precision agriculture

Cited by 7 publications

References 7 publications

Mitigation Techniques for Agricultural Pollution by Precision Technologies with a Focus on the Internet of Things (IoTs): A Review

Mitigation Techniques for Agricultural Pollution by Precision Technologies with a Focus on the Internet of Things (IoTs): A Review

Developing Agriculture Land Mapping using Rapid Application Development (RAD): A Case Study from Indonesia

Capacidad de descarga de purines de un tanque distribuidor de boñiga líquida

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