At the moment, there are increasing trends of using deep learning for plant diseases
detection. However, their implementations may be difficult in developing countries due to …

Plant diseases are accountable for economic losses in an agricultural country. The manual
process of plant diseases diagnosis is a key challenge from last one decade; therefore …

In this work, we have combined fluorescence imaging spectroscopy (FIS) and supervised
learning methods to identify and discriminate between citrus canker, Huanglongbing, and …

This book contains 18 chapters and reviews key advances in precision agriculture
technology and applications. The chapters summarize developments in monitoring …

Huanglongbing (HLB) es considerada mundialmente como la enfermedad más
amenazadora para la citricultura, y ha impactado principalmente en Asia, Sudáfrica y Brasil …

The production potential of agricultural and horticultural crops worldwide is reduced by
abiotic and biotic factors. Various kinds of pests, that is, weeds, pathogens, viruses …

The agriculture sector plays an essential duty because of the rapid growth of the population
as well as the boost sought after for food. Consequently, it needs to enhance crop return …

Huanglongbing (HLB) is considered worldwide as the most threatening disease for citrus
and has impacted mainly in Asia, South Africa and Brazil. Until now, no effective treatment …

This chapter discusses commonly used sensing techniques with a focus on sensing
applications for stress detection and high-throughput phenotyping in horticulture, including …