Geostatistics, Remote Sensing and Precision Farming

Mulla, D. J.

doi:10.1002/9780470515419.ch7

Cited by 13 publications

(3 citation statements)

References 13 publications

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“…There have been several suggestions in the literature about the potential value of ancillary data to provide information on soil properties (Blackmer et al, 1995;Mulla, 1997;Yang and Anderson, 1999). Such data include yield from yield monitors, digital information from aerial photographs, electromagnetic induction data, elevation, and so on.…”

Section: Introductionmentioning

confidence: 98%

Exploring the spatial relations between soil physical properties and apparent electrical conductivity

Carroll

Oliver

2005

Geoderma

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Section: Introductionmentioning

confidence: 98%

Exploring the spatial relations between soil physical properties and apparent electrical conductivity

Carroll

Oliver

2005

Geoderma

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“…The conditions for selecting secondary variables are easy availability and low cost. The secondary variable that is widely used for estimating the spatial distribution of soil properties is elevation (Blackmer et al, 1995;Mulla, 1997).…”

Section: Introductionmentioning

confidence: 99%

Determination of the spatial variability of soil nitrogen content based on reliefs in an apple orchard, Batu, Indonesia

Wicaksono

Suratman

Suharyadi

et al. 2019

J.Degrade.Min.Land Manage.

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A better understanding of the spatial variability of soil nitrogen content is required to achieve the best management in precision agriculture. The purpose of this study was to determine the spatial variability of soil nitrogen content based on reliefs in an apple orchard. The study was conducted from March to August 2018 in a 1210 hectare of apple orchard, Batu, East Java Province, Indonesia. Soil samples were taken using the stratified random sampling method. Data were processed by the GLM Univariate 5% method with SPSS 16.0. The results of the statistical analysis showed that the Sig value and coefficient of determination were 0.000 and 0.846, respectively. This condition means that soil nitrogen content was significantly different in various reliefs. The apple orchard was divided into 10 (ten) zones with different soil nitrogen content in various reliefs. This is crucial as a basis for implementing precision agriculture in apple orchards, meaning that the determination of fertilizer dosage can be adjusted to the soil nitrogen content in the various zones. This study concluded that relief significantly affected the spatial variability of soil nitrogen content.

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“…Precision farming technologies, such as precision planting, variable rate application, and precision irrigation, can help farmers to reduce soil erosion (Kroulík et al 2009). Thanks to technological enhancement, mapping and interpolating spatial patterns, and geographic information systems for overlaying and interpreting several soil, landscape and crop attributes, soil erosion can be mitigated (Mulla 2007;Maia et al 2017). However, the adoption and integration of these technologies vary among different countries and regions (Barnes et al 2019;Pathak et al 2019;Michels et al 2020).…”

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confidence: 99%

The state of agricultural digitalisation in Hungary

Fróna

2024

Res. Agric. Eng.

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In recent years, the concept of digitalization has gained increasing attention in the field of agriculture. The adoption of digital technologies such as sensors, drones, and precision farming tools has the potential to revolutionize how agricultural production is carried out, leading to increased efficiency, productivity, and sustainability. This study examines the current state of digitisation and the use of digital tools in agriculture among Hungarian farmers. The uptake of digitalisation has been slow, and more comprehensive policies and strategies are needed to improve progress. The study shows that while there are positive developments, such as the increasing use of precision technologies, there is still a lack of digital infrastructure and skills, as well as limited access to finance and information. The study concludes by making recommendations for policy makers, stakeholders and farmers to enhance the digitalisation of agriculture in Hungary.

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Geostatistics, Remote Sensing and Precision Farming

Cited by 13 publications

References 13 publications

Exploring the spatial relations between soil physical properties and apparent electrical conductivity

Exploring the spatial relations between soil physical properties and apparent electrical conductivity

Determination of the spatial variability of soil nitrogen content based on reliefs in an apple orchard, Batu, Indonesia

The state of agricultural digitalisation in Hungary

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