Smart farming with artificial intelligence provides an efficient solution to today's agricultural
sustainability challenges. Machine learning, Deep learning, and time series analysis are …

Agriculture is essential to a flourishing economy. Although soil is essential for sustainable
food production, its quality can decline as cultivation becomes more intensive and demand …

Designing of intrusion detection system (IDS), and mobile ad hoc networks (MANET)
prevention technique with examined detection rate, memory consumption with minimum …

After soybean and palm oil, the world's third largest oil seed crop is rapeseed mustard. Out
of the seven consumable oil seed crops grown in India, rapeseed mustard is responsible for …

As the worldwide planting crop, rice feeds nearly half of the world's population. However, the
continuous spread of diseases is threatening rice production. It is of great practical value to …

Abstract Machine learning and deep learning are subsets of Artificial Intelligence that have
revolutionized object detection and classification in images or videos. This technology plays …

This paper surveys the supportive technologies currently available for ground mobile robots
used for autonomous mapping in agriculture. Unlike previous reviews, we describe state-of …

The typical food traceability system's data layer is made up of relational databases managed
by core businesses, which cannot ensure data security. It is inefficient and requires a lot of …

Increased quantities of the same sort of item are not nearly as critical to client happiness as
a high‐quality product. The requirements and expectations of the consumer have an impact …

With the increase in the number of IoT farming datasets, it has become so difficult to identify
the right data for IoT agriculture applications. Therefore, a meaningful structure is needed to …