The sugarcane crop has great socioeconomic relevance because of its use in the production
of sugar, bioelectricity, and ethanol. Mainly cultivated in tropical and subtropical countries …

Pre-harvest estimate of sugarcane production is required by sugar mill officials for proper
planning about intra or inter-regional trading of sugarcane if expected production is more or …

Sugarcane holds a critical position in global agriculture, serving as a basis for the sugar and
bioenergy sectors. The integration of remote sensing technologies and sophisticated …

Crop yield prediction at regional levels is an essential task for the decision-makers for rapid
decision making. Pre-harvest prediction of a crop yield can prevent a disastrous situation …

Agricultural production in India is highly vulnerable to climate change. Transformational
change to farming systems is required to cope with this changing climate to maintain food …

Sugarcane is a major commercial crop in India that requires careful monitoring due to its
substantial contribution to the Indian economy and employs many people through the sugar …

The information generated about crop harvesting can aid several purposes, including the
maximization of crop yield, minimizing crop losses, assessing quality deterioration and crop …

This work focused on developing a methodology for using machine learning (ML)
approaches to establish a pre-harvest yield prediction model for sugarcane at field level by …

The paper traces the evolution of agricultural remote sensing in India through its four
phases: initial exploratory and aerial data based (1969–1982), IRS Utilization Program led …

Remote sensing has been evolving as a general method for multi-scale crop information
extraction. Large scale multi-crop discrimination using airborne, or satellite remote sensing …