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 …

Prediction models using machine learning assume an important role in supporting decisions
in asphalt road construction, such as the scheduling of tasks and the control of compaction …

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 …

Detailed and accurate statistics on crop productivity are key to inform decision-making
related to sustainable food production and supply ensuring global food security. However …

Context Predicting crop yields with high precision and timeliness is essential for crop
breeding, enabling the optimization of planting strategies and efficients resource allocation …

The European Green Deal has set a concrete strategic plan to increase farm sustainability.
At the same time, the current global challenges, due to climate change and fuels and …

Monitoring crops and producing correct yield estimates are both crucial components of
decision-making in agricultural systems. This is particularly important for crops like maize …

Yield calculation is an important link in modern precision agriculture that is an effective
means to improve breeding efficiency and to adjust planting and marketing plans. With the …

Crop yield forecasting plays a significant role in addressing growing concerns about food
security and guiding decision-making for policymakers and farmers. When deep learning is …

Tiger nuts are a non-genetically modified organism crop with high adaptability and
economic value, and they are being widely promoted for cultivation in China. This study …