Due to the unique feature of the three-dimensional convolution neural network, it is used in
image classification. There are some problems such as noise, lack of labeled samples, the …

BACKGROUND Barley is one of the strategic agricultural products available in the world,
and yield prediction is important for ensuring food security. One way of estimating a product …

Automatic detection of borders using remote sensing images will minimize the dependency
on time-consuming manual input. The lack of field border data sets indicates that current …

Recent continuous droughts and decreasing ground water tables have prompted efforts to
improve irrigation schedules and introduce crops that need less water. A study was recently …

Micronutrient malnutrition is a global challenge affecting> 2 billion people, in particular those
with a crop-based diet and limited access to nutrient-rich food sources. Conventional …

Climate change is a growing threat to the agricultural sector. Land surface temperature
(LST), as an essential variable in the earth's climate system, describes processes such as …

The use of satellite imagery to monitor flood areas is essential to determine the damage and
prevent related problems in the future. This paper examines thresholding and unsupervised …

Real-time and non-destructive nitrogen (N) status diagnosis is needed to support in-season
N management decision-making for modern wheat production. For this purpose, satellite …

Accurate estimation of the leaf or canopy chlorophyll content is crucial for monitoring crop
growth conditions. Remote sensing monitoring of crop chlorophyll is a non-destructive, large …

Hyperspectral imaging has emerged as an effective powerful tool in plentiful military,
environmental, and civil applications over the last three decades. The modern remote …