The agriculture sector is confronted with numerous challenges in the quest for accurate crop
yield estimation, which is essential for efficient resource management and mitigating food …

Recently, agriculture has gained much attention regarding forecasting and prediction with
the advancement of artificial intelligence techniques. Advancements in Machine Learning …

This study aimed to identify the most influential soil and environmental factors for predicting
wheat yield (WY) in a part of irrigated croplands in southwest Iran, using the FAO-Agro …

Agriculture plays a crucial role in Nigeria's economy, serving as a vital source of sustenance
and livelihood for numerous Nigerians. With the escalating impact of climate change on crop …

Advancements in technology have led to a significant growth of agricultural data. The
potential for forecasting crop yield depends on parameters such as climate, soil …

As a highly variable factor, climate plays a crucial role in winter wheat production.
Quantifying its impact on crop yield and determining its relative importance is essential. This …

Climate and environment have a significant impact on vegetation growth in terrestrial
ecosystems, particularly in mountainous regions like Pamir Mountains in Central Asia where …

The application of machine learning and remote sensing techniques to estimate crop yield
has garnered significant attention due to their ability to analyze large volumes of data and …

Wheat domestication and use are strongly related to humans' attempts to control their food
supply and fend off hunger. Therefore, the main problem is a structural supply and demand …

A precise wheat yield estimation and prediction are significant for food safety and security
purposes of a region or a country, which provide societal peace and sustainable …