Abstract Machine learning is an important decision support tool for crop yield prediction,
including supporting decisions on what crops to grow and what to do during the growing …

Highlights•Defects affecting horticultural products and detection challenges are
summarised.•Machine learning's role in addressing issues of fruit defect detection is …

Automatic detection and analysis of rice crop diseases is widely required in the farming
industry, which can be utilized to avoid squandering financial and other resources, reduce …

With the rapid development of the Internet of Things (IoT), Big Data technologies have
emerged as a critical data analytics tool to bring the knowledge within IoT infrastructures to …

Research on sustainable computing in agriculture has a great potential as an effective way
to solve most agricultural technology bottlenecks, save resource costs, and drive sustainable …

Agriculture remains a vital sector for most countries. It presents the main source of food for
the population of the world. However, it faces a big challenge: producing more and better …

Summary Internet of Things (IoT), fog computing, cloud computing, and data‐driven
techniques together offer a great opportunity for verticals such as dairy industry to increase …

The importance of agriculture in modern society need not be overstated. In order to meet the
huge requirements of food and to mitigate, the conventional problems of cropping smart and …

Agriculture is the most important sector that influences the economy of India. It contributes to
18% of India's Gross Domestic Product (GDP) and gives employment to 50% of the …

Surface water pollution by pesticides is a primary concern in many parts of the world.
Therefore, an effective monitoring program is essential to assess the environmental state of …