Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

Artificial intelligence and machine learning have been increasingly applied for prediction in
agricultural science. However, many models are typically black boxes, meaning we cannot …

Vegetable cultivation stands as a pivotal element in the agricultural transformation
illustrating a complex interplay between technological advancements, evolving …

Hydroponics is the soil less agriculture farming, which consumes less water and other
resources as compared to the traditional soil‐based agriculture systems. However …

Based on their construction or working principles, biosensors, biomimetic sensors, and
bioapplicable sensors may have been understood differently, but everyone acknowledges …

The concept of “smart agriculture” relies on the integration of sensors within an Internet of
Things (IoT) network. Machine learning (ML) algorithms are integrated at various levels of …

Irrigation decision-making has evolved from solely depending on farmers' decisions taken
based on the visual analysis of field conditions to making decisions based on crop water …

Food production faces significant challenges, mainly due to the increase in the Earth's
population, combined with climate change. This will create extreme pressure on food …

Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

Abstract Limpopo, one of South Africa's nine provinces, is mostly rural, where agriculture
serves as the primary occupation for around 89 percent of the total population. Agriculture …