Agriculture

Hyper-connected industries dynamically converging
to meet human needs

Smart precision farming for better crop health & predictability of income. Enabling farmers, Agricultural organizations digitize processes and intelligently supply to meet demand variations.

Cognitive computing is fuelling innovation across the agricultural sector, on-field and off-field. Codewave enables agricultural enterprises harness data & analytics to choose the right crop to grow at the right farm at the right time – for best utilizing season’s climatic conditions and soil fertility, for maximizing crop health and nutritional value, minimizing rejections at the ‘retail’ end and delivering high consumer impact.

Our web & moblie app development services for agriculture enterprises starts with understanding the organization’s goals and pain points you are trying to address. After proper comprehension of the problem our team of digital transformation services consultants identify the right solutions and articulate a roadmap for the development of the same in alignment with your vision and overall strategy. Exploitation of data, AI & ML on the edge/cloud infrastructure enable you to remotely manage crops and machinery health which in-turn increases net farm yield, improves machine life and boosts your enterprise net revenue.

Success stories

ETG
Our offerings for Agritech :
  • AI/ML solutions developmentfor crop health/disease early detection
  • Crop growth monitoring systems design & development
  • Farm management systems & data analytics
  • Farming and irrigation - robotic automation solutions
  • Farm-to-Table blockchain solutions development for traceability
  • Seed-to-Sale management solutions
  • Livestock management software solutions
  • Analytics Solutions for Smart Precision Farming
  • Agri Machinery Health Monitoring Solutions
  • Enterprise solutions for workforce management
Incorporating blockchain into your digital strategy enables you and other businesses in your ecosystem trace products from their source to consumption, which builds your brand’s credibility. Livestock management software tools today empower farmers to efficiently utilize resources and establish a robust system for real-time monitoring and administration of livestock feeding, movement & produce.
Agriculture

Today, your digital strategy could involve participation and integration of multiple industries and cross-pollination of ideas and offerings.

There’s high levels of integration, collaboration and interoperability made possible with technologies like Blockchain. Also, fluctuation in demand for one industry could impact others. For example, rising demand for food delivery at the door, increased the demand for 2-wheeler transport to solve the ‘last-mile-connectivity’ problem and the demand for fractional ownership of bikes.

Multi-industry collaborations or cross-domain integrations are becoming the new norm, to thrive in today’s “Intelligence first” era, businesses need to embrace this change and exploit advanced digital technologies to participate in consistently delivering maximum consumer value.

Strategy - Design - Product - Technology - Innovation -

Frequently asked questions

Agriculture digitisation is on the edge, literally. IoT & edge are completely transforming agriculture sector. You can develop agriculture farm management software which automates crop planning, performs in-field drone inspection, helps with labor management, farm inventory management, and farm accounting. Another vertical is livestock tracking and management app. Smart agriculture system for food traceability, spply-chain transparency, smart irrigation, soil fertility, crop health tracking, precision agriculture, rooftop farming, virtual farming, etcetera are all promising avenues of agricultural transformation. At Codewave, we make use of design thinking led digital innovation strategy to build lean agriTech products that delivers value. Incorporation of design thinking into agriculture app development process & adhering to agile software development practices helps us build highly secure, high-performing, scalable digital solutions for the agriculture industry.
The average cost of developing an app is $250,000. For farming app development, the outsourcing cost will fall between $50,000 to $200,000 depending on the complexity, the tech you use, and the country you outsource it to. Developing smart farm management app like CropIn will cost you $40,000 minimum. And if you are trying to build an app which is even more complex, let’s say at par with Semios, obviously it takes more effort, time, and cost. To develop Semios like app, you will have to invest a minimum of $125,000 to $145,000.
Companies are ramping up the use of IoT sensors, edge analytics, and connectivity technologies like 5G, LPWAN, LoRaWAN, Sigfox, & FLEX network in agriculture to track vital parameters like soil moisture, solar irradiation, and to track farm & irrigation equipments. Use of robotics & smart machinery to improve farmer productivity adn to reduce labor-dependency like fruit-picking, harvesting, spraying, seeding, weeding, livestock weighing machines, milking machines, and autofeeders; use of AI-ML for disease recognition in plants & livestock; use of biotech & AI for gene selection recommendations; utilizing drones & computer vision for tracking, geofencing, and targeted spraying are some other trends which are already mainstream but will continue to further penetrate the market.
In general, farming & agriculture related apps should have GPS tracking functionality to track farm produce/goods & livestocks; computer vision for remote monitoring; vernacular chat/communication functionality to communicate with experts or field labors; broadcasting & video features; calendar & push notifications; weather forecast; product listing; payment gateway analytics dashboards, multilingual farming knowledge database; and a blog. Extensive list of farming & livestock management app features can be prepared if we know what exactly you are trying to build.