Elsevier,
Intelligent Data Mining and Fusion Systems in Agriculture, 2020, Pages 1-15
This book presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. This chapters address SDGs 2 and 9 by presenting methods related to the combination of sensors with Artificial Intelligence architectures in Precision Agriculture.
Elsevier,
Encyclopedia of Environmental Health (Second Edition), 2019, Pages 436-455
This chapters focuses on the consequences mining on river contamination in Bolivia. An unintended consequence of mining has been widespread contamination of riverine environments by toxic trace metals and metalloids. (e.g., arsenic, antimony, cadmium, mercury, lead, and zinc). The type, magnitude, and extent of contamination differ significantly between the humid to hyperhumid tropical rainforests in the north and the semiarid, heavily impacted, rivers in the south.
Elsevier,
Encyclopedia of Environmental Health (Second Edition), 2011, Pages 327-334
This chapter analyses the complex influence of climate change on vector borne diseases. It is perhaps expected that climate change will be invoked as a major driving force. The actual effect, however, is highly site specific suggesting that other factors play an equally important role.
Elsevier,
Encyclopedia of Environmental Health (Second Edition), 2019, Pages 315-323
This chapter focusses on e-waste, encompassing various forms of electrical and electronic equipment that are old, end-of-life electronic appliances. E-waste poses severe health risks to the populations, especially fetuses and children; toxic exposure is involved in the etiology of both chronic/noncommunicable diseases and infectious diseases. The e-waste widespread and chronic exposure in receiver countries poses an actual public health emergency.
