Accelerating International Agricultural Development With Aerospace Remote Sensing

Traditional agricultural practices based on non-customized irrigation and soil fertilization are harmful for the environment, and may pose a risk for human health. By continuing the use of these practices, it is not possible to ensure effective land management, which might be acquired by using advanced satellite technology configured for modern agricultural development. The paper presents a methodology based on the correlation between remote sensing data and field observations, aiming to identify the key features and to establish an interpretation pattern for the inhomogeneity highlighted by the remote sensing data. Instead of using classical methods for the evaluation of land features (field analysis, measurements and mapping), the approach is to use high resolution multispectral and hyperspectral methods, in correlation with data processing and geographic information systems (GIS), in order to improve the agricultural practices and mitigate their environmental impact (soil and shallow aquifer).

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Research Progress on Remote Sensing Classification Methods for Farmland Vegetation

AgriEngineering ◽

10.3390/agriengineering3040061 ◽

2021 ◽

Vol 3 (4) ◽

pp. 971-989

Author(s):

Dongliang Fan ◽

Xiaoyun Su ◽

Bo Weng ◽

Tianshu Wang ◽

Feiyun Yang

Keyword(s):

Remote Sensing ◽

Agricultural Development ◽

Vegetation Index ◽

Crop Yields ◽

Dynamic Change ◽

Practical Significance ◽

Research Progress ◽

Remote Sensing Classification ◽

Advantages And Disadvantages ◽

Crop Planting

Crop planting area and spatial distribution information have important practical significance for food security, global change, and sustainable agricultural development. How to efficiently and accurately identify crops in a timely manner by remote sensing in order to determine the crop planting area and its temporal–spatial dynamic change information is a core issue of monitoring crop growth and estimating regional crop yields. Based on hundreds of relevant documents from the past 25 years, in this paper, we summarize research progress in relation to farmland vegetation identification and classification by remote sensing. The classification and identification of farmland vegetation includes classification based on vegetation index, spectral bands, multi-source data fusion, artificial intelligence learning, and drone remote sensing. Representative studies of remote sensing methods are collated, the main content of each technology is summarized, and the advantages and disadvantages of each method are analyzed. Current problems related to crop remote sensing identification are then identified and future development directions are proposed.

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Hitting the target and missing the point? On the risks of measuring women’s empowerment in agricultural development

Agriculture and Human Values ◽

10.1007/s10460-021-10290-2 ◽

2022 ◽

Author(s):

Katie Tavenner ◽

Todd A. Crane

Keyword(s):

Qualitative Methods ◽

Agricultural Development ◽

Methodological Approach ◽

Agricultural Productivity ◽

Women's Empowerment ◽

Women’S Empowerment ◽

Societal Relevance ◽

Local Contexts ◽

Scientific Accuracy ◽

International Agricultural Development

AbstractThere is a strong impetus in international agricultural development to close ‘gender gaps’ in agricultural productivity. The goal of empowering women is often framed as the solution to closing these gaps, stimulating the proliferation of new indicators and instruments for the targeting, measurement, and tracking of programmatic goals in research for agricultural development. Despite these advances, current measurements and indices remain too simplified in terms of unit and scope of analysis, as well as being fundamentally flawed in how they aim to capture the relevance of ‘gender’ in diverse local contexts. We propose that the impulse to apply exogenously defined and weakly validated ‘women’s empowerment’ measures to diverse local contexts risks prioritizing practical expedience over scientific accuracy and societal relevance. Furthermore, the application of such measures risks creating the impression that programmatic “gender targets” are being achieved, while simultaneously undermining substantive gender transformative goals. The authors conclude that a different methodological approach grounded in participatory and qualitative methods is needed to create more meaningful metrics for assessing progress towards women’s empowerment.

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Meeting World Food Needs: Lessons of the Green Revolution

Journal of the Northeastern Agricultural Economics Council ◽

10.1017/s0163548400003423 ◽

1982 ◽

Vol 11 (2) ◽

pp. 107-111

Author(s):

D. R. MacKenzie

Keyword(s):

Research Program ◽

Agricultural Development ◽

Green Revolution ◽

Genetic Material ◽

Appropriate Technology ◽

History Of ◽

Food Needs ◽

International Agricultural Development ◽

Agriculture Development ◽

Successful Production

The GREEN REVOLUTION has been offered as an example of both what to do and what not to do as international agriculture development. An appraisal is made of the benefits and consequences of the GREEN REVOLUTION for both wheat and rice. The history of the GREEN REVOLUTION is traced to its origins in pre-war Japan for both its concept and as the source of genetic material. The successful “production technology” approach of the wheat research program in Mexico is compared to the “appropriate technology” of the less successful maize research program. Lessons are drawn from the experience of the GREEN REVOLUTION that may prove helpful when planning or evaluating international agricultural development projects.

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