An overview was made of dry matter (DM) and quality losses that occur during the ensiling
process. The aim was to review the current knowledge on the course of the fermentation …

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 …

Pea (Pisum sativum L.) is a legume valued mainly for its high seed protein content. The
protein content of pea is characterized by a high lysine content and low allergenicity. This …

Permanent grasslands represent the main terrestrial ecosystem and serve as an important
global reservoir of biodiversity, providing a wide range of benefits to humans and …

In China, Wedelia trilobata (WT) is among the top most invasive plant species. The
prediction of its growth, using different efficient methods under different environmental …

Real change is needed in the agricultural sector to meet the challenges of the 21st century
in terms of humanity's food needs. Activities related to the modernization of agricultural …

This research delves into the application of machine learning methods for predicting the
yield of potato varieties used for French fries in Poland. By integrating a comprehensive …

Digital agriculture, defined as the analysis and collection of various farm data, is constantly
evolving. Data collected on an ongoing basis from fields, machinery, weather stations …

Yield prediction is a crucial activity in scheduling agronomic operations and in informing the
management and financial decisions of a wide range of stakeholders of the organic durum …

In the 21st century, agriculture is facing numerous challenges. First, a changing climate is
modifying farming conditions and increasingly influencing how agricultural production is …