Automated Offboard system to measure the volume of harvested material

Problem Statement: Measuring the volume of harvested material behind the machine can be beneficial for various agricultural operations, such as baling, dropping, material decomposition, cultivation, and seeding. This paper aims to investigate and determine the volume of material for use in various agricultural operations. This proposed methodology can help to predict the amount of residue available in the field, assess field readiness for the next production cycle, measure residue distribution, determine hay readiness for baling, and evaluate the quantity of hay present in the field, among other applications which would benefit the customer. Solution Statement: • TO Improve the agricultural production system. • By – Measuring the volume of harvested material • Using – Remote Sensing and IoT Technology: System is going to use Onboard camera and satellite image to determine the volume of materials. The system collects data from the capture device during runtime to obtain information about the ground surface layer and the top layer of material in the field. It utilizes satellite imagery to determine the elevation of the area. This data is then correlated with the ground surface layer, top layer of material, and elevation map to calculate the volume of harvested material present. Methodology: This paper is going leverage the Image Processing, Remote Sensing, ML/DL and IoT concepts to determine the volume of harvested material which can help to customer to plan the agricultural operation. Benefits: • Reduce operation cost • Reduce Time consumption • Help to land preparation planning • Automation to Autonomy • Reduce Labor dependency • Soil nutrient planning