Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …

In agriculture, land use and land classification address questions such as “where”,“why” and
“when” a particular crop is grown within a particular agroecology. To date, there are several …

This work presents quantitative prediction of severity of the disease caused by Phytophthora
infestans in potato crops using machine learning algorithms such as multilayer perceptron …

The world is confronted with the grand challenge of food insecurity amidst growing
populations and the climate crisis. Artificial intelligence (AI) deployed in agricultural decision …

Drought factors vary with climate regions. Drought prediction and classification require
vegetation indices, which are computed based on these characteristics. Satellite images can …

Featured Application This paper conducts a literature review on information and
communication solutions supporting data lifecycle in precision agriculture. Abstract The role …

As a cost‐effective and nondestructive detection method, the machine vision technology has
been widely applied in the detection of potato defects. Recently, the depth camera which …

Drought is a naturally occurring event in particular geographical area. Droughts are
classified as one of the major naturally occurring hazards causing severe impact on the …

Precision agriculture has benefited from the development of emerging technologies like
Internet of Things (IoT), big data, and artificial intelligence (AI). The huge amount of high …

Water scarcity due to limited water resources and substantial increase in water consumption
leads to drought situation many parts of world. Agricultural drought affects all walks of life in …