Delineating site-specific management zones on pasture soil using a probabilistic and objective model and geostatistical techniques

Moral, Francisco J.; Rebollo, Francisco J.; Serrano, João

doi:10.1007/s11119-019-09686-2

Cited by 12 publications

(11 citation statements)

References 29 publications

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“…Moreover, some farmers who are willing and financially able to adopt digital tools may not be able to do so if their equipment and service providers do not offer them. In the 2017 survey of agricultural service providers in Ontario, Canada, over 60% of the 34 respondents agreed or strongly agreed with the statement that "the fees they could charge to farmers were not sufficiently high", and over 50% agreed or strongly agreed with the statement that "the necessary equipment changes too quickly " (Mitchell, Weersink and Erickson, 2018 [90]). Similar surveys of agricultural service providers in Ontario, Canada were conducted in 2017 and 2019.…”

Section: Barriers and Constraintsmentioning

confidence: 99%

“…Similar surveys of agricultural service providers in Ontario, Canada were conducted in 2017 and 2019. Although the number of responses were low, they represented a relatively high proportion of the population (Mitchell, Weersink and Erickson, 2018 [90]; Mitchell, Weersink and Bannon, 2021 [91]). As in the United States, offerings and sales increased between these two years, with the most recent data suggesting the highest sales rates for grid or zone soil sampling (87% of surveyed retailers), GIS field mapping (86%), VRT fertiliser applications (83%), and satellite/aerial imagery (80%).…”

Section: Barriers and Constraintsmentioning

confidence: 99%

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The digitalisation of agriculture

2022

OECD Food, Agriculture and Fisheries Papers

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Digitalisation offers the potential to help address the productivity, sustainability and resilience challenges facing agriculture. Evidence on the adoption and impacts of digital agriculture in OECD countries from national surveys and the literature indicates broad use of digital technologies in row crop farms, but less evidence is available on uptake for livestock and speciality crops. Common barriers to adoption include costs (up-front investment and recurring maintenance expenses), relevance and limited use cases, userfriendliness, high operator skill requirements, mistrust of algorithms, and technological risk. National governments have an important role in addressing bottlenecks to adoption, such as by ensuring better information about costs and benefits of various technologies (including intangible benefits such as quality of life improvements); investing in human capital; ensuring appropriate incentives for innovation; serving as knowledge brokers and facilitators of data-sharing to spur inclusive, secure and representative data ecosystems; and promoting competitive markets.

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Section: Barriers and Constraintsmentioning

confidence: 99%

Section: Barriers and Constraintsmentioning

confidence: 99%

The digitalisation of agriculture

2022

OECD Food, Agriculture and Fisheries Papers

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“…The three-dimensional surfaces shown represent the boundaries of the lime supply levels (A/B, B/C, C/D and D/E) based on the maximum pH values of the lime supply levels A-D. The mathematical models that describe the three-dimensional relationships between the upper pH limits, the MPDs (x) and mean SOM contents (y) are given in Equations ( 3)- (6).…”

Section: Predicting the Lime Supply Status Of Soilmentioning

confidence: 99%

“…Therefore, it can be economically and environmentally inefficient [1]. Sitespecific management, as an intrinsic part of precision agriculture, contributes to increasing yield, reducing inputs, and minimizing environmental impact [2][3][4][5][6][7]. However, the benefits of site-specific management strategies are strongly dependent on the quality of the variability prediction.…”

Section: Introductionmentioning

confidence: 99%

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Predicting the Lime Demand of Arable Soils from pH Value, Soil Texture and Soil Organic Matter Content

2021

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For more than 40 years, farmers in Germany have used the fertilization recommendation schema provided by the Association of German Agricultural Investigation and Research Institutions (VDLUFA) to quantify the required lime (CaO) demand of arable mineral soils. To be applicable as guidelines in practice, the results of 30 years of fertilization experiments that studied the correlation between crop yields and the actual soil pH, the soil texture, and the soil organic matter (SOM) content were finally condensed into a look-up table system. However, because the original experimental data are no longer accessible, the purpose of this study is to reconstruct the interaction between the three soil parameters and their appropriate lime demands. Therefore, the class-based, stepwise approach of the look-up table system is transferred into a continuous, stepless approach using mathematical models. Under the precondition to preserve the pH-, texture- and SOM-dependent CaO amounts recommended in the look-up system (n = 317) to the greatest extent possible, the algorithm was successful; more than 99% of their variability could be explained by the models. This adaptation helps to meet the accuracy of present-day requirements of precision farming.

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