PsiBorg develops Smart agriculture system with a motive of helping farmers in increasing yield, efficiency and releasing workload. Using sensors nodes with soil monitoring devices, we try to control the harsh conditions faced by farmers.
Smart Agriculture System using IoT
IoT based smart agriculture monitoring helps in collecting data, starting from the weather conditions to the soil quality monitoring to the crop’s growth process. This information helps the farmer in understanding the need of their soil and helps in growing better yield. Smart farming solutions are developed by integrating technology with traditional farming methods.Livestock tracking and geofencing can be used buy Farm owners to collect data regarding the location, well-being, and health of their cattle.
Working of IoT based Smart Farming
Smart farming techniques such as placing various environmental and soil sensors in the agricultural land to fetch soil nutrition data, PH, moisture level, temperature etc which is then edge computed at the central gateway. The sensor nodes generally use protocols like Sub-1GHz, LoRaWAN, Zigbee etc to communicate with the gateway. This data is further pushed to the server and can be visualised on Cloud based IoT dashboards and IoT Mobile application after analysis of data fetched.
Need of Smart Farming using IoT
With the growth in the world population, food consumption also grows rapidly. To meet the demand-supply ratio, change in the agriculture pattern is a necessity. IoT, with a combination of various sensors and actuators, can bring a change in modern Agriculture. Farmers can now increase the effectiveness of pesticides and fertilizers by measuring variation within the field remotely. With the right information and communication technology, IoT application in agriculture can empower farmers.
Analysis of Agricultural Data
Different algorithms along with analytical tools are implemented for data analysis of agricultural fields for predictive maintenance. Also, to collect data from the field at any time of the day and keep an eye in the barn, satellite imagery and drones are used for precision farming. It’s the combination of all these components that help the farmers examine the land at a more granular level and help in making decisions beforehand , also recommending the type of crop to grow with the integration of AI/ML in the system.
Smart Agriculture system by PsiBorg
Advanced agriculture in India as well as in countries like Indonesia, USA and others is already been implemented. We, at PsiBorg, have developed many Wireless Sensor Networks for different applications, Smart Agriculture System being one.
From Satellite Imagery to integrating various weather forecasting APIs with the system which includes soil monitoring probes and a central unit where all the data from the probes is collected. The sensors are fitted inside the probes at different levels and measure different parameters including moisture, humidity, water level, temperature, NPK values, pH values, CO2 content etc. This data is further sent to IoT Gateway System for storage and analysis.
Therefore, giving actionable insights such as crop health, irrigation, spraying, planting, soil and field, plant counting and yield prediction and much more to manage all the operations on the farm, both pre and post harvest and can be monitored from anywhere in the world.
Is IoT the future of agriculture?
IoT in agriculture is empowering farmers in several ways, including precise forecasting, data-driven decision making, need of their soil and more. Technological change has been the basis for increasing agricultural productivity and promoting agricultural development.Yes adaption of Iot in agriculture is the future of farming.
What are the impacts of smart agriculture?
Smart farming is highly efficient when compared with the conventional approach. Farmers can now monitor the crops remotely and can make more informed decisions to increase crop productivity .Usage of fertilizer and pesticides can be controlled,irrigation of soil can be done more efficiently based on the output of the sensors, which in turn keeps the food prices down.
What are infrastructure requirements for adopting smart farming IoT?
Along with sensor probes encapsulating different sensors for soil monitoring, a central gateway unit is required. A central gateway is internet enabled (in most cases), which further sends the data to the IoT cloud, from where the data can be fetched on our phones and laptops. So, basically infrastructure for smart farming includes sensor probes, gateway unit, IoT cloud and Smart phones .
What are the major challenges of the Smart Agriculture system?
Infrastructure cost, lack of technical knowledge among farmers in developing countries, continuos internet connectivity, requirement of long lasting batteries are few of the challenges faced by smart agriculture system.
What are the benefits of IoT smart farming?
IoT smart farming solutions is a system that is built for monitoring the crops, Soil of the field with the help of sensors (Soil nutrition sensors,light, humidity, temperature, soil moisture etc.) and automating the irrigation system. The farmers can monitor the field conditions from anywhere and can take more informed decisions based on AI/ML algorithms.
What are the applications of IoT in farming?
Real time Monitoring and control systems, Livestock monitoring ,smart irrigation system ,effective use of water, fertilizers and pesticides are some of the applications of Smart agriculture.
Why is IoT security important to agriculture?
Without proper cybersecurity on the IoT interfaces for the physical devices and sensors precision agriculture uses, data could be easily lost or stolen, So it is very important to configure things like data encryption, remote wipe, password customization, two-factor authentication, backups, VPN, malware removal, updated firmware along with strong architecture to keep the system secure.