Marginal agricultural lands are considered unsuitable for conventional crop production but
could be utilized for biofuel production, groundwater recharge, afforestation, and other land …

Crop improvement and production domains encounter large amounts of expanding data
with multi-layer complexity that forces researchers to use machine-learning approaches to …

Bioenergy offers a sustainable alternative to fossil fuels, addressing energy security and
climate change concerns. This paper reviews the current landscape of machine learning …

A sufficiently early and accurate prediction can help to steer crop yields more consciously,
resulting in food security, especially with an expanding world population. Additionally …

Soil organic carbon (SOC), total nitrogen (TN), total phosphorus (TP), and total potassium
(TK) are important indicators for evaluating soil fertility. Exploring the content and spatial …

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 …

Predicting changes in future land use and farmland production potential (FPP) within the
context of shared socioeconomic pathways (SSPs) and representative concentration …

Introduction Food safety issues pose a significant threat to humanity. Precision agriculture
leverages advanced technologies for real-time monitoring and management, improving …

Heat stress is a critical environmental factor that adversely affects crop productivity. With the
increasing frequency and intensity of heat waves and extreme weather events, heat stress …

The unpredictability of crop yield due to severe weather events such as drought and extreme
heat continues to be a key worry. The present study evaluated six meteorological and three …