Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …

Efficient cropping requires yield estimation for each involved crop, where data‐driven
models are commonly applied. In recent years, some data‐driven modeling technique …

An important issue for agricultural planning purposes is the accurate yield estimation for the
numerous crops involved in the planning. Machine learning (ML) is an essential approach …

It is of critical importance to understand the relationships between crop yield, soil properties
and topographic characteristics for agricultural management. This study's objective was to …

In order to meet the requirements of sustainability and to determine yield drivers and limiting
factors, it is now more likely that traditional yield modelling will be carried out using artificial …

In viticulture, it is critical to predict productivity levels of the different vineyard zones to
undertake appropriate cropping practices. To overcome this challenge, the final yield was …

A multiobjective programming model is proposed for optimal allocation of surface and
groundwater resources under water deficits in arid and semiarid regions. This paper …

The yield of rice largely depends on transplanting techniques. Mechanical transplanting is
gaining popularity as a cost-saving and on-time operation with less labor orientation in rice …

Accurate and timely prediction of crop yield based on remote sensing data is important for
food security. However, crop growth is a complex process, which makes it quite difficult to …

To meet the challenges of climate change, population growth, and an increasing food
demand, an accurate, timely and dynamic yield estimation of regional and global crop yield …