The system adopts machin learning techniques computer vision Deep learning is used to quantify the images captured and to keep track of the crop. In addition to this, it detects Fusarium wilt in radish plants. The whole radish crop is segmented into three divisions’ i.e., radish, bare ground, mulching film, but we mainly emphasis on the crop and the bare ground. Inculcate various sorts of sensors collect the sensor data using ThingSpeak. The process includes setting up the sensors collecting the pictures and sensor data, analyzing the data and gets the result. Machine learning extends its services in every field especially in agriculture i.e., crop management starting from seedling to harvesting. The cycle starts with ground preparation, plantation of seeds, seeds breeding and requirement of water for the crop and even harvesting can be done automatically by robots depending upon ripeness of the crop by using the technology of computer vision. To achieve promising outcomes and broad potentials, this algorithm employs data analysis techniques and image processing. Profound learning gives high precision, beating existing ordinarily utilized picture handling methods. Since agriculture plays such a significant role in India's economy, it should be given top priority, with the most up-to-date technology like the web of Things (IoT). Through using the capabilities of the Platform applications based on the Internet of Things (IoT) can be built to manage and track crops with limited human intervention.