The automatic detection, visualization, and classification of plant diseases through image
datasets are key challenges for precision and smart farming. The technological solutions …

Decrease in crop yield and degradation in product quality due to plant diseases such as rust
and blast in pearl millet is the cause of concern for farmers and the agriculture industry. The …

Owing to the ever-increasing world population it makes a doubt about feeding billions of
people, as to the amount of current rate of agricultural food production, where it often …

Agriculture plays a vital role in the growth of humankind. The total world depends upon the
agricultural contribution, and wherein the agriculture purely depends upon the necessity of …

Purpose The main intention of this paper is to analyze various factors hindering the growth
of the agricultural supply chain and several industry 4.0 technologies to eliminate the same …

In this paper, we apply the multi-class supervised machine learning techniques for
classifying the agriculture farm machinery. The classification of farm machinery is important …

With the increasing demand on smart agriculture, the effective growth of a plant and
increase its productivity are essential. To increase the yield and productivity, monitoring of a …

Precision agriculture generates large datasets from IoT infrastructures deployed for
continuous crop monitoring. This data requires analysis to usefully transform this data …

Understanding how plants respond to environmental conditions such as temperature, CO2,
humidity, and light radiation is essential for plant growth. This paper proposes an Artificial …

Technological advancements play a crucial role in agriculture sector aiming at eradicating
numerous problems. These problems are intensified due to pandemics like delay overhead …