Satellite Remote Sensing Data for Decision Support in Emerging Agricultural Economies: How Satellite Data Can Transform Agricultural Decision Making [Perspectives]

Jewiss, Jennifer; Brown, M. E.; Escobar, V. M.

doi:10.1109/mgrs.2020.3023343

Cited by 13 publications

(7 citation statements)

References 19 publications

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“…First, the DTA can reduce agricultural energy consumption. Specifically, precision agriculture systems, e.g., disaster warning systems, soil detection technologies, remote sensing monitoring systems, and intelligent irrigation systems developed by applying digital technologies, can assist agricultural operators in completing refined operations in various areas, such as rice planting, fertilization, water spraying, and harvesting (Jewiss et al 2020;Sharma et al 2022). This helps enhance energy utilization efficiency in agriculture and lowers the level of needless energy consumption, ultimately decreasing carbon emissions.…”

Section: Theoretical Analysis and Research Hypothesismentioning

confidence: 99%

How does the digital transformation of agriculture affect carbon emissions? Evidence from China’s provincial panel data

Chen,

2024

Humanit Soc Sci Commun

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Agriculture is becoming a substantial contributor to carbon emissions in China, and the efficient reduction of agricultural carbon emissions (ACEs) has become a universal concern. Currently, the digital transformation of agriculture (DTA) provides a new way to reduce carbon emissions. However, questions regarding whether and how DTA suppresses ACEs remain the focus of both academic and practical attention; thus, they serve as the objectives of this study. Based on theoretical analyzes, the carbon emission reduction effect of DTA is empirically analyzed using panel data from 30 Chinese provinces between 2015 and 2021 with a benchmark regression model, mediating effect model and threshold effect model. The results show the following: (1) DTA significantly reduces ACEs. (2) DTA reduces ACEs through three paths: expanding the agricultural production scale, optimizing the agricultural industrial structure, and promoting agricultural technological progress. The agricultural industrial structure has the most considerable mediating effect, while the agricultural production scale expansion has the smallest effect. (3) The inhibitory effect of DTA on ACEs shows very distinct heterogeneity. DTA primarily reduces ACEs in eastern and nongrain production areas yet has an insignificant impact on other areas. In addition, the DTA has a significant inhibitory effect on ACEs from both fertilizers and diesel oil. (4) The inhibitory effect of DTA on ACEs is nonlinear rather than linear. There is a single threshold effect for the effect of DTA on ACEs, which is insignificant below the threshold and significantly negative above the threshold. Therefore, China’s central and local governments need to increase the level of DTA, encourage farmers to moderately expand the scale of their operations, emphasize the agricultural service industry, and enhance agricultural technological innovation to ultimately reduce ACEs.

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Section: Theoretical Analysis and Research Hypothesismentioning

confidence: 99%

How does the digital transformation of agriculture affect carbon emissions? Evidence from China’s provincial panel data

Chen,

2024

Humanit Soc Sci Commun

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“…Canada's food system is currently embracing the emerging trend of agricultural digitalisation [86]. Highly mechanised precision agriculture and intelligent farms have been developed in both the United States and Russia [87,88]. Additionally, smartphone applications are utilised in Uganda to enhance public agricultural extension services [89].…”

Section: Final Remarksmentioning

confidence: 99%

The Impact of the Digital Economy on Food System Resilience: Insights from a Study across 190 Chinese Towns

Wang,

Li,

2023

Sustainability

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This study explores the impact of the digital economy on the resilience of the food system, employing data from 190 towns in China and a difference-in-differences (DID) model. The results indicate that, between 2011 and 2020, the progress of the digital economy was instrumental in driving continuous improvements in the food system’s resilience in China. This conclusion stands firm after accounting for endogenous issues and conducting comprehensive robustness tests. According to a mechanism test, the digital economy can impact the resilience of the food system through three avenues: digital technology, digital finance, and human capital. Further research indicates that the influence of the digital economy on the resilience of the food system varies across regions and different food functional zones. These findings offer fresh insights and empirical evidence into the linkages between the digital economy and food system resilience. Such insights may bolster the food system’s resilience in developing countries and promote sustainable food development.

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“…The impact of pests such as the desert locust [20] and fall armyworm [21] can be countered with cost-effective solutions such as integrated pest management [22] coupled with new resistant crop varieties and targeted biological control agents, such as the use of Metarhizium flavoviride fungus as a control agent for the desert locust [20]. Metrics focused on raising yields must be able to capture climatic, economic and social outcomes of investment and changes of policy through time [23], and show clearly how new agriculture management strategies, technology and interventions can counter these pests while still reducing poverty and food insecurity (Table S1) [12].…”

Section: Earth Observation Data On Agriculturementioning

confidence: 99%

Metrics to Accelerate Private Sector Investment in Sustainable Development Goal 2—Zero Hunger

Brown

2021

Sustainability

Self Cite

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Substantial investment from both the private and public sectors will be needed to achieve the ambitious Sustainable Development Goal 2 (SDG2), which focuses on ending poverty and achieving zero hunger. To harness the private sector, high quality, transparent metrics are needed to ensure that every dollar spent reaches the most marginalized segments of a community while still helping institutions achieve their goals. Satellite-derived Earth observations will be instrumental in accelerating these investments and targeting them to the regions with the greatest need. This article proposes two quantitative metrics that could be used to evaluate the impact of private sector activities on SDG2: measuring increases in yield over baseline and ensuring input availability and affordability in all markets.

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Satellite Remote Sensing Data for Decision Support in Emerging Agricultural Economies: How Satellite Data Can Transform Agricultural Decision Making [Perspectives]

Cited by 13 publications

References 19 publications

How does the digital transformation of agriculture affect carbon emissions? Evidence from China’s provincial panel data

How does the digital transformation of agriculture affect carbon emissions? Evidence from China’s provincial panel data

The Impact of the Digital Economy on Food System Resilience: Insights from a Study across 190 Chinese Towns

Metrics to Accelerate Private Sector Investment in Sustainable Development Goal 2—Zero Hunger

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