The potato is a key crop in addressing global hunger, and deep learning is at the core of
smart agriculture. Applying deep learning (eg, YOLO series, ResNet, CNN, LSTM, etc.) in …

Potatoes are a vital part of our diet worldwide, but their cultivation poses challenges due to
environmental impacts from traditional farming methods. Precision agriculture offers a …

Today's agriculture faces numerous challenges due to climate change, a growing population
and the need to increase food productivity. In response to these issues, digital innovation is …

Potato yield is an important metric for farmers to further optimize their cultivation practices.
Potato yield can be estimated on a harvester using an RGB-D camera that can estimate the …

Starch content serves as a crucial indicator of the quality and palatability of potato tubers. It
has become a common practice to evaluate the polysaccharide content directly in tubers …

We explore the application of machine learning algorithms specifically to enhance the
selection process of Russet potato (Solanum tuberosum L.) clones in breeding trials by …

We explore the application of machine learning algorithms to predict the suitability of Russet
potato clones for advancement in breeding trials. Leveraging data from manually collected …

Yield prediction is an important task supporting agricultural decisions, mainly in the context
of climate change and resource allocation. However, it remains a challenge as it requires …

Objetivou-se com este trabalho avaliar o potencial das Redes Neurais Artificiais (RNAs)
para predição da produtividade do feijão-caupi e determinar os componentes produtivos de …