IoT Based Smart Crop Recommendation Using Macro Nutrient Analysis of Soil

Technology is developing at an exponential rate in every sector of the world. This trend is also easily visible in the agriculture sector too. It is of vital importance to not neglect the agriculture sector. This is so because even after exhausting all the conventional methods the supply/demand ratio is still deteriorating. By applying technology, the efficiency and production could be increased. In this research, we aim to address this problem using the Internet of Things (IoT) which is a fast-developing technology that connects standalone gadgets and equipment with internet in real-time with an aim to improve its throughput or to enhance an already present service. This research uses IoT to detect the presence and quantity of a set of nutrients whose readings are vital in monitoring the health of the soil which will, in turn, determine the health and growth of plants in horticulture and other farming activities. It is crucial that the soil used in farming activities have the optimal amount of minerals and water. While water can be easily detected using a moisture sensor, mineral detection is still in its nascent stages. This research aims to create a system by which this aspect of soil monitoring can be advanced so that even the monitoring can be automated and supplements or pre-plantation inspection can be achieved with lower latency. These parameters are used to further recommend a crop on a large scale.