Arthropod pest outbreaks are unpredictable and not uniformly distributed within fields. Early
outbreak detection and treatment application are inherent to effective pest management …

As per the FAO, the insect pest causes 30 to 40 percent loss every year across the globe.
The identification, classification and management of insect pest is very important to avoid …

Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide
application, and reduce risks to human and animal health. IPM is based on two important …

Pine wilt disease (PWD) caused by pine wood nematode (PWN, Bursaphelenchus
xylophilus) originated in North America and has since spread to Asia and Europe. PWN is …

The study of chlorophyll fluorescence parameters is very important for understanding plant
photosynthesis. Monitoring cotton chlorophyll fluorescence parameters via spectral …

Chlorophyll content is usually used as a quantitative measurement of plant health. The
chlorophyll content is also a continuous number of data type, leading to a regression …

Applied meteorology is an important and rapidly growing field. This chapter concludes the
three-chapter series of this monograph describing how meteorological information can be …

Hyperspectral remote sensing is a useful technique for detecting spatio-temporal changes in
crop morphological and physiological health. In order to identify the pestsensitive bands for …

Spectral data are now-a-days widely used for assessment of biochemical, biophysical and
structural traits of vegetation by analysing their spectral signatures. In field, it is recorded by …

In this research, we address the problem of smart insect-pest management for cotton crops.
For the study of this problem, we have positioned it in the framework of the paradigm of …