Agricultural systems science has evolved over many years with contributions from a wide range of disciplines. During this time period, appreciation for and acceptance of agricultural systems science has increased as more scientists, engineers, and economists are increasingly using systems modeling, analytical approaches, and information technology tools for Smart Farming activities to increase the quantity and quality of products while optimizing the human labor required.
SmartFarms differentiate themselves through the ability to record the data and compile information out of it. To optimize the farming process, IoT devices can be installed on a farm, to collect and process data in a repetitive cycle that enables farmers to react quickly. Sensors record observational data from the crops, soil, or atmosphere.
Plant’s interaction with sunlight reveals information about its chemical and physical composition. That information may be correlated with its genetic traits and other inputs to characterize many predictions under a given set of conditions and to predict potential future performance.
Spectral imaging seeks to measure plant/sunlight interaction at points along the light spectrum that are markers for various plant pigments, moisture content, or cellular structure indicative of health condition.
To measure this interaction, the spectral content of light absorbed by the plant should be measured. Accuracy therefore requires spectral measurements both before and after the light interacts with the plant. Otherwise, even minor changes in sunlight conditions can impart uncorrectable errors in the measurement. If uncorrected, those errors will migrate into downstream analytics, forecasts, and ultimately into misinformed decisions.
XNetBIZ is working on smart data collection and automation of defined set of farming activities using IoT devices and sensors. Corporate farming activities are most benefited right from soil preparation, watering schedules, seedling, sowing, controlling weed, minimizing insecticides, harvest planning, and post harvest activities.