Crop productivity is readily reduced by competition from weeds. It is particularly important to
control weeds early to prevent yield losses. Limited herbicide choices and increasing costs …

In precision agriculture, non-invasive remote sensing can be used to observe crops and
weeds in visible and non-visible spectra. This paper proposes a novel approach for weed …

The differentiation between the main crop and weeds is an important step for selective
spraying systems to avoid agrochemical waste and reduce economic and environmental …

Artificial Intelligence (AI) methods and technologies have been successfully applied for
recognizing objects, detecting and segmenting RGB images. Today, such technologies are …

Artificial Intelligence (AI) is a widely used tool in precision agriculture for estimating the
quality of food. It is especially relevant while assessing crops at various harvest and …

Artificial intelligence has become increasingly prominent in agriculture and other fields.
Prediction of body weight in animals and plants has been done by humans using many …

Precision agriculture relies heavily on effective weed management to ensure robust crop
yields. This study presents RoWeeder, an innovative framework for unsupervised weed …

In precision agriculture, non-invasive remote sensing using UAVs can be employed to
observe crops in visible and non-visible spectra. This paper investigates the effectiveness of …

The differentiation between the main crop and weeds is an important step for selective
spraying systems to avoid agrochemical waste and reduce economic and environmental …

Weeds are undesirable, persistent plants that infiltrate fields and hamper the growth of
surrounding crops and consume resources required for keeping crops alive and sustaining …