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They performa second sowing to cope with this lack of rain. As a result, the cropping season’s length is longer than normal, posing the question of time-inefficiency.
At present, adjustments to the agricultural calendar do not seem consistent across
locations.
12 Conclusions
Climate change is the goal number 13 in the 2030 agenda for sustainable development adopted by the United Nations, which addresses the target action to combat
climate. Climate and weather have different influences on crop area, intensity, and
yield. These influences are modified by farmer decision-making and innovations.
Farmers are developing coping strategies, such as adjusting some of their farming
practices, given climate variability. Enhancing our understanding of climate impact
and management contributions to crop area and intensity as well as yield is crucial for
lowering uncertainty regarding long term effects of climate change on agricultural
production and creating more targeted responses to climate adaptation.
Crop calendars are a core component of monitoring systems for agricultural production as they help experts focus on the seasons when different crop types grow in
the field. Land surface phenology (LSP) metrics have been used as a proxy for crop
calendars and apply criteria such as the start and end of the season (SOS and EOS
respectively) to identify the period of pixel-level growth of active agricultural vegetation. This information, indeed, is not crop-specific and so it remains relevant to use
crop calendars from independent sources which provide crop-specific phenological
timing like those of sowing, growing, and harvesting. Under climate change in 2030
and because of the rise in air temperature, it is expected that planting date will be
earlier by 5–7 days. Climate change studies predicted a reduction in the productivity
of two major crops in Egypt—wheat and maize—by 15% and 19% respectively by
2050.
13 Recommendations
In future research, interactions between technology, decision-making, and climatic
influences are necessary to help climate adaptation and enhance food security. The
goal is to enhance our understanding of technology interactions, farmer decisionmaking and climatic impacts on crop area, intensity, and yield. While the capacity
for climate adaptation has been evaluated using crop models, there is limited technology considered in these evaluations. These analyses tell us about the upper limit of
the potential for adaptation without limiting access to technology. The real relationships between technology, farmer decision-making and climate impacts are, however,
complex.
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