Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …

Detection of crop diseases is imperative for agriculture to be sustainable. Automated crop
disease detection is a major issue in the current agricultural industry due to its cluttered …

Farming can be made more productive and accurate with the help of technologies like IOT.
IOT can be used in different domains of farming or agriculture. The area of implementation of …

With the rapid advancement of technology, people are passionate to get more intelligent
living. Since agriculture is one of the significant industries that need to be developed in order …

Agriculture as a source of food is essential for humankind. Therefore, the diagnosis of plant
diseases is a significant concern. Plant disease diagnosis through plant monitoring is …

The study and literature on the Internet of Things (IoT) and its applications in agriculture for
smart farming are increasing worldwide. However, the knowledge mapping trends related to …

In the digital revolution of agriculture, Internet of Things (IoT) technology and smart Decision
Tree (DL) Algorithms may help control soil-borne diseases. This research proposes using …

Agriculture is one of the main important sectors for livelihood, as near about 55–60% people
directly and indirectly depends on it. The early stage of crop disease detection and …

Nowadays, IoT is impacting day-to-day lifestyles by making everything smart. Agriculture is
the backbone of the economy of every country. In the past, farmers used to examine soil …

Timely identification of diseases in crops and taking immediate actions to prevent them from
being completely destroyed is a key part of agricultural production. Environmental …