Intellias empowers established agribusinesses and AgriTech startups with its agriculture software development services to devise innovative ways for farmers to run their operations. We help our clients create agriculture software that let farmers make data-driven decisions resulting in higher profitability and sustainable business growth. With this aim, we’ve established a Digital Lab to develop, validate, and scale agricultural software by providing senior engineering teams and technology expertise in precision farming, GPS guidance systems, remote IoT sensing, AI automation, cloud computing, location and mapping services.
Develop custom farm management systems to improve decision-making, optimize operations, and maximize farm production and profits
Capture field images using drones and satellites to build precision maps for monitoring crop yields, field conditions, and weather changes
Create software for vertical farms built within urban spaces to control climate conditions and track crop growth with image recognition
Increase transparency using blockchain, eliminate counterfeit products by applying DLT, and empower small farms with smart contracts
Apply IoT connectivity to collect field data and remote sensing for monitoring irrigation, crop yields, soil moisture, and weather conditions
Combine AI, GPS navigation, and telematics for automated guidance of agricultural machinery and predictive fleet maintenance.
Monitor and analyze data collected from IoT sensors, satellites, and historical databases, train machine learning algorithms to predict weather
Maximize the use of connected sensors installed across fields for data collection, deep insights, and improved crop management
Apply advanced machine learning algorithms to obtain quality recommendations, project crop yields, and estimate product demand
Collect, process, and analyze real-time data from field sensors to turn raw numbers into strategic insights for crop management
Unleash the power of cloud platforms by applying our partner-level experience with Amazon Web Services, Microsoft Azure, and Google Cloud
Watch the video to learn how our agriculture software developers built software used in agriculture machinery route optimization to deal with all the risk factors involved in transporting oversized and overweight equipment. Combining location technologies, mapping data, and machine learning algorithms, users can plan routes, track heavy machinery in real time, and easily estimate the transit costs for oversized agricultural equipment.
R&D lab for sustainable farming
Farm management system
Horticulture lighting for vertical farming
Drone imagery analysis for crop monitoring
Smart agriculture software with artificial intelligence offers farmers a path to the widespread automation of manual work. For example, navigation systems can automatically guide machinery to collect crops after receiving notifications from farm management systems about weather and soil conditions. Drones are already being adopted by farmers to collect field images. They can automatically monitor, irrigate, and fertilize crops while minimizing human error and effort.
Blockchain technology brings security to agricultural software and agriculture supply chain. Intellias can help an AgriTech software company implement distributed ledger technology to gain transparency at each stage of product transportation and ensure traceability of product origins. Blockchain technology for agriculture software development company can help detect fraud and deliver healthy products to customers while smart contracts can simplify the purchase procedure of equipment.
Today, farming relies on location and geographical data. Application of GIS to agriculture lets AgriTech software companies conduct spatial analysis of farmlands and create detailed visual representations for further analytics and data-driven decisions on crop management. GIS is critical to identifying early signs of soil erosion, making precise crop yield estimates, and conducting detailed risk assessments to secure farms against floods, wildfires, and droughts.
Intellias agriculture software developers keep their agriculture custom software development focus on mapping and navigation solutions. We can help an AgriTech software company develop accurate maps for farm fields, crop yields, and soil moisture. Using our experience in software for agriculture and expertise in scaling engineering capacity, AgriTech companies can develop technologies to help farmers tackle the challenges of climate change and a growing demand for food.
Innovations in agriculture would not be possible without enough data collected from the fields. IoT agriculture software solutions provide plenty of opportunities to collect data on crops, soil, and weather conditions. Striving to become a pioneer in agriculture custom software development, almost every AgriTech software company is trying to achieve competence in remote sensing to provide farmers with detailed digital representations of their fields.
Software for agriculture and IoT sensors may help farmers solve challenges in various business areas. Watering systems use soil parameters collected by IoT sensors to plan irrigation of fields and use resources wisely. Our software development in agriculture expertise helps clients implement software used in agriculture, soil monitoring systems for smart irrigation powered by machine learning, IoT and location-based services to reduce operational expenses and optimize yields.
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