Abstract Unmanned Aerial Vehicle (UAV) platforms and associated sensing technologies
are extensively utilized in precision agriculture. Using LiDAR and imaging sensors mounted …

Sugarcane is a semi-perennial grass whose cultivation is characterized by an extended
harvest season lasting several months leading to very high spatio-temporal variability of the …

Sugarcane supply can vary according to the cultivation area, climatic condition, and disease.
Although there are several scientific simulation models for sugarcane yield estimation, they …

Sugarcane is cultivated on about 26 M ha across tropics and subtropics worldwide as a
source of many industrial products, especially sugar and also bioenergy purposes (biofuel …

This chapter reviews the mathematical modeling of crop growth and yield and its application
to assist in the research and management of sugarcane production. It summarizes …

The goal of this research is to employ remote sensing to assess the influence of the
Chashma Right Bank Canal (CRBC) on land-use/land-cover (LULC) changes and cropping …

Commercial sugarcane crops in South Africa are grown under a wide range of agronomic
and socio-economic conditions. These factors, together with climatic variation have resulted …

Accepted: 12 December 2020 The purpose of this study is to investigate the computing
capabilities of machine learning algorithms and remotely sensed signals to extract the …

The performance of a model-based crop forecasting system is assessed in this paper. The
operational error associated with a forecast originates from two independent sources. First …

Crop simulation models have great significance in transferring new technologies to the
farmers and decision-makers and Decision Support Systems for Agrotechnology Transfer …