Technology and agroecological resilience
Keywords:
agroecology, biodiversity, cocoa, digital monitoring, environmental sustainabilitySynopsis
Technology and agroecological resilience address the transformation of cocoa farming in the face of climate change challenges, integrating digital innovation with sustainable agroforestry management. Using a mixed-methods approach applied across ten farms of the National Confederation of Dominican Cocoa Farmers (CONACADO), the book documents a comprehensive intervention model based on computerized monitoring and agroecological conversion. The book is structured around two main themes: the first examines the use of geospatial and digital tools for monitoring biophysical variables, while the second details the transition process toward organic management practices and technical training. The consolidated results after two years of implementation demonstrate the viability of this synergy, reporting an average 12 % increase in crop productivity and a 15 % increase in soil organic matter content. These improvements reflect a significant recovery of soil fertility and a strengthening of functional biodiversity within production systems. Furthermore, 80 % of participating producers reported tangible benefits in economic, social, and environmental terms, confirming the view that these technologies serve as drivers of sustainability. In conclusion, this work offers a replicable methodological framework that demonstrates that digitalization and agroecology are not mutually exclusive approaches, but rather complementary ones for ensuring productive resilience in tropical ecosystems. The text serves as an essential reference for researchers, technical experts, and decision-makers interested in the sustainable future of the global cocoa sector.
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K. Singh et al., “E-Agriculture Planning Tool for Supporting Smallholder Cocoa Intensification Using Remotely Sensed Data,” Remote Sens., vol. 15, no. 14, p. 3492, Jul. 2023, doi: 10.3390/rs15143492.
L. Qiao et al., “Soil quality both increases crop production and improves resilience to climate change,” Nat. Clim. Chang., vol. 12, no. 6, pp. 574–580, Jun. 2022, doi: 10.1038/s41558-022-01376-8
A. Apicella, “Intelligent cocoa: a systematic review of artificial intelligence applications in the cocoa supply chain,” Br. Food J., vol. 127, no. 12, pp. 4473–4493, Nov. 2025, doi: 10.1108/BFJ-04-2025-0488
J. Verrelst et al., “Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods,” Surv. Geophys., vol. 40, no. 3, pp. 589–629, May 2019, doi: 10.1007/s10712-018-9478-y
J. E. Joseph et al., “Evaluating iSAT climate-informed agro-advisories for farm decisions and system performance in Senegal’s drylands,” Sci. Rep., vol. 16, no. 1, p. 10493, Mar. 2026, doi: 10.1038/s41598-026-44231-y
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