Climate smart agriculture for sustainable productivity and healthy landscapes

• Published in: Environmental science & policy Vol. 151; p. 103600
• Main Authors: Vishnoi, Shweta, Goel, Raj Kumar
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2024
• Subjects: Agro-environmental; Circular agriculture; Geo-ICT; SDG 2; Transdisciplinary science; Agro-environmental; Circular agriculture; SDG 2; Geo-ICT; Transdisciplinary science
• ISSN: 1462-9011; 1873-6416
• DOI: 10.1016/j.envsci.2023.103600

In rural areas of developing countries, more than 70% of the population still depends on agriculture. However, economic crises, unscientific land allocation and climate change issues have hindered attempted gains in agricultural productivity and related rural development outcomes. Technology-driven breakthrough has usually pushed agriculture to the brink of another development that can affect not only plant diversity and yield, but also climatological and socio-economic outcomes. The concept of sustainable agriculture has become increasingly popularized as research and farming communities believe that productivity with environmental and social consequences need to be judiciously balanced. Agriculture of developed nations has practically benefitted of this concept worldwide during the 1990 s. In order to be successful worldwide, extensive research must be conducted not only for large-scale farms in developed nations but also for small-scale farms in developing nations. Climate smart agriculture conserves biodiversity by adopting coherent, multifunctional, and multi-cropping approach through design oriented spatial planning and flow among them. Here, a spatiotemporal data driven paradigm for sensing monitoring and directing agricultural ecosystem has been proposed to optimize the use of climate smart circular agricultural system. •Climate-smart agriculture can help achieve many of the SDGs.•Productivity needs to be balanced with environmental and social consequences judiciously.•Agriculture and rural development can cope with unemployment and distress migration.•Spatiotemporal data driven paradigm has been proposed for regenerative agriculture.•AI-driven big data analytics and circular ecosystem underpin climate smart agriculture.