Building a more resilient food system for sustainable development and reducing uncertainty
in global food markets both require concurrent and near-real-time and reliable crop …

Going beyond previous work, this paper presents a systematic literature review that explores
the deployment of satellites, drones, and ground-based sensors for yield prediction in …

Timely and accurate rice yield prediction over large regions is imperative to making informed
decisions on precision crop management and ensuring regional food security. Previous …

Abstract Machine learning (ML) has become an important technology for the development of
prediction models for crop yield. Predictive modeling using ML is rapidly growing as …

Agriculture is the foremost factor which is important for the survival of human beings.
Farming contributes to a very big part of GDP; still, several areas exist where improvements …

Agriculture is a key employment in several countries throughout the globe. AI is increasingly
becoming a part of agriculture industry as traditional methods are insufficient to supply the …

With an increase in the amount of natural disasters, the combined use of cloud-penetrating
Synthetic Aperture Radar and deep learning becomes unavoidable for their monitoring. This …

Accidents are inevitable in the transportation systems; however, harnessing the big data
generated from traffic accidents can significantly enhance the intelligence of the …

Building change detection (CD) from remote sensing images (RSI) has great significance in
exploring the utilization of land resources and determining the building damage after a …

Agriculture in Maharashtra has immense importance in India, acting as the back-bone of the
economy and a primary livelihood source for a significant population. Being the third largest …