COMP8230 - The first algorithm is comprised of a web scraping tool which surveys literature from various agriculture-based article sources

Executive Summary

Agriculture is a branch of science which deals with the craft of cultivating plants and effective rise of livestock. In recent times, smart sensing systems have garnered special interest in the field of agriculture. As of today, most farming techniques are reliant on machinery with considerable human involvement. Of late, fertile lands are degrading due to heavy industrialisation and freshwater resources are draining. To combat these shortcomings, this review aims at implementing a soilless cultivation system, which is automated and monitored through a proposed application called Autogreen.

In this farm set-up, the crop germinates and pollinates in a protected atmosphere with conditions perfectly tailored to suit it. The roots are periodically irrigated with a waternutrient mixture. During the growth cycle, metrics like humidity, the intensity of light, temperature, nutrient-water concentration level, irrigation relay time are automatically maintained through a feedback system. Autogreen enables a farmer to remotely monitor these growth metrics. Unstructured and structured data is being dealt with from various sources such as the IoT sensors, Web articles and Drone Cameras. In the proposed application, two types of algorithms are being customised to ensure that the farm is packed with state-ofthe-art technologies and the plants are in the green of health before harvest.

The first algorithm is comprised of a web scraping tool which surveys literature from various agriculture-based article sources and unearths information about the latest fertilizer and nutrient compositions. This is carried out through Keyword-based querying. The second is a convolution neural network-based deep learning algorithm which helps in early disease detection in a plant.

The architecture of the farm is presented along with the hardware components by leveraging the positives of current non-soil-based farming systems. These facets are discoursed in this review by contextualising and applying modern research in the field of agriculture.