Principles and applications of topography in precision agriculture

Rabia, Ahmed Harb; Neupane, Jasmine; Lin, Zhe; Lewis, Katie L.; Cao, Guofeng; Guo, Wenxuan

doi:10.1016/bs.agron.2021.08.005

Cited by 13 publications

(5 citation statements)

References 234 publications

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“…Under the conditions of the study region, its importance is often greater than that of the soilagrochemical factor [24,41]. In general, it can be argued that the results obtained confirm the current idea of the critical importance of an objective assessment and operative management of the production process of crops, taking into account landscape and ecological differentiation [24][25][26][27][28]42].…”

Section: Discussionsupporting

confidence: 55%

Efficiency of Precision Fertilization System in Grain-Grass Crop Rotation

Ivanov

Ivanova

2022

Agriculture

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The purpose of a comprehensive field experiment was to evaluate the agronomic efficiency of a precise organomineral fertilizer system based on a uniform and differentiated application of mineral and organic fertilizers. The methodological basis of the study was a two-factor landscape field experiment with grain-grass crop rotation, established within the sloping agricultural landscape of a gently undulating glaciolacustrine plain. It was determined, that soil and agrochemical conditions and a stable soil water regime were of decisive importance in the effectiveness of fertilizers within the agrolandscape. The level increase in yield from the differentiated application of peat-dung compost (once in a bare fallow) and mineral fertilizers relative to the uniform application was 7–12% for winter wheat, 5–11% for oats, 3–8% for perennial grasses, and in the entire crop rotation—5–8%. It regularly decreased during the mineralization of the applied organic fertilizers. Among the three variants of the precise fertilization system studied, the best result was achieved in the option, where organic and mineral fertilizers were applied differentially. In this case, the absolute increase in crop rotation productivity relative to the unfertilized variant reached 16.39 t ha−1 of cereal units or 116%, and relative to the uniform fertilizer system—2.27 t ha−1 of cereal units or 8%.

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Section: Discussionsupporting

confidence: 55%

Efficiency of Precision Fertilization System in Grain-Grass Crop Rotation

Ivanov

Ivanova

2022

Agriculture

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“…Topography affects various physical properties of the soil, such as soil texture, structure, soil bulk density, thermal properties, etc. [55]. The re- It is quite interesting to note such low spatial variability in the soil pH at the district level, which confirms the strong buffering mechanisms in action in the study area by various cationic and anionic compounds present in the soil.…”

Section: Spatial Distribution Of Soil Fertility Indicators and Sfisupporting

confidence: 64%

“…Topography affects various physical properties of the soil, such as soil texture, structure, soil bulk density, thermal properties, etc. [55]. The region displays very minimal variation in elevation, which indicates the negligible effect of topography on the physical properties of soil.…”

Section: Spatial Distribution Of Soil Fertility Indicators and Sfimentioning

confidence: 95%

Combining Fuzzy, Multicriteria and Mapping Techniques to Assess Soil Fertility for Agricultural Development: A Case Study of Firozabad District, Uttar Pradesh, India

Saraswat

Ram

AbdelRahman

et al. 2023

Land

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Soil fertility (SF) assessment is an important strategy for identifying agriculturally productive lands, particularly in areas that are vulnerable to climate change. This research focuses on detecting SF zones in Firozabad district, Uttar Pradesh, India, for agricultural purposes, so that they can be prioritized for future management using the fuzzy technique in the Arc GIS model-builder. The model computing technique was also deployed to determine the different fertility zones, considering 17 soil parameters. The derived fuzzy technique outperformed the traditional method of dividing the sampling sites into clusters to correlate soil fertility classes with the studied soil samples. The prioritization of the soil factors and a spatial analysis of the fertility areas were carried out using the Analytic Hierarchy Process (AHP) and GIS tools, respectively. The AHP analysis outcome indicated that hydraulic properties had the highest weighted value, followed by physical and chemical properties, regarding their influence on SF. The spatial distribution map of physico-chemical properties also clearly depicts the standard classification. A fuzzy priority map was implemented based on all the classes parameters to identify the five fertility classes of the soil, namely very high (0.05%); high (16.59%); medium (60.94%); low (22.34%); and very low (0.07% of total area). This study will be of significant value to planners and policymakers in the future planning and development of activities and schemes that aim to solve similar problems across the country.

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“…Topographical factors significantly influence agricultural land (Rabia et al, 2022). The relationship between topography and crop yield can be seen in several conditions (Guo et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Exploring the Nexus of Topographical Factors and Agriculture: Identifying Suitable Land for Agriculture in Poonch District, Jammu and Kashmir

Bose,

Iqbal,

Irshad

2024

Preprint

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Agricultural land is essential for food production and income generation. The present study was conducted to understand the relationship between topographical factors and agricultural land and to identify suitable land for agriculture in the Poonch district. Eight topographical factors, such as elevation, slope, aspect, curvature, relief amplitude, standard deviation of elevation, topographical wet index, and solar radiation, were chosen for the study. Topographical information was extracted from the Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM), and agricultural land was digitized from ArcGIS Pro base map and Google Earth high-resolution satellite images. The location entropy technique was used to determine the relationship between topographical factors and agricultural land. Suitable land for agriculture was identified through fuzzy overlay analysis in ArcGIS Pro using chosen parameters by considering the threshold value obtained in the location entropy. The findings revealed 34.98 square kilometers of suitable agricultural land. The survey among local farmers shows profitable agriculture in the region, and utilizing this suitable land could significantly improve farmers' livelihoods and the production of food grains. This specific area offers a promising opportunity for advanced farming techniques. Harnessing the potential of this identified area can enhance agricultural production, resulting in higher crop yields and economic benefits for the local farmers.

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Principles and applications of topography in precision agriculture

Cited by 13 publications

References 234 publications

Efficiency of Precision Fertilization System in Grain-Grass Crop Rotation

Efficiency of Precision Fertilization System in Grain-Grass Crop Rotation

Combining Fuzzy, Multicriteria and Mapping Techniques to Assess Soil Fertility for Agricultural Development: A Case Study of Firozabad District, Uttar Pradesh, India

Exploring the Nexus of Topographical Factors and Agriculture: Identifying Suitable Land for Agriculture in Poonch District, Jammu and Kashmir

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