Smart Farming

Smart Farming leverages cutting-edge technologies to create a data-driven and intelligent ecosystem, promote precision agriculture for optimised resource use and improved farm productivity.

SMART FARMING – Significant contribution of IoT and Drone making Agro-farming profitable.

IoT, Drone and Artificial intelligence (AI) application has lately made an appearance in the agriculture industry. Farmers’ knowledge gap about the advantages of these modern agrotech application is also facing constrains of precision farming. Moreover, inadequate or over use of fertilization, pest and disease infestations, massive data demands, also reduced performance.

IoT, Drone and Artificial intelligence integrated solution has opened up new possibilities and opportunities to the agricultural farming world. The solution offers a comprehensive assessment of Soil quality, Crop yield prediction, Detection of diseases, Weed recognition, Quality of produces, help to reduce Irrigation water, Fertilisers & Pest uses and Soil compaction.

SMART farming solutions delivers real-time artificial intelligence (AI) empowered analytics, using machine learning of agro-sensors and drone collection data that would provide comprehensive suggestions, prediction and analyses to farmers’. These suggestions and analyses influence farmers to use the solution as decision-making tools for efficient farming management to improve crop yield and profitability.

Challenges

• Inadequacies of data availability relevant to precision farming
• Acceptability of present state of agriculture mechanization
• Availability of qualified and trained personnel
• Fiscal policies

Advantages

Resource Optimization:

IoT: Manages resources efficiently by providing data on water usage, fertilizer requirements, and pest control.
Drone: Optimize resource distribution by identifying areas needing attention and reducing wastage.

Reduce Operational and Input Cost:

IoT: Automates tasks like irrigation, enabling more efficient use of resources and reducing labour costs.
Drone: Automate crop monitoring, allowing farmers to cover large areas quickly and provide regulated spraying services of fertilisers and pest efficiently to reduce input and operational cost.

Data-Driven Decision-Making:

IoT: Collects and analyses data on various agricultural parameters, empowering farmers to make data-driven decisions.
AI: Processes vast amounts of data to provide actionable insights, improving decision accuracy.

Reduced Environmental Impact:

IoT: Optimizes resource usage, minimizing environmental impact through targeted application of water, fertilizers, and pesticides.
Drones: Allow for precision spraying, reducing chemical usage and potential environmental harm.

Reducing labour intensive processes :

IoT: Reduces manual labour with automated processes, saving time and lowering operational costs.
Drones: Provide quick and efficient field analysis, saving time compared to traditional methods.

Improved Crop Yields:

IoT: Optimizes conditions for crop growth, leading to increased yields through better resource management.
AI: Analyses historical data to provide insights into optimal planting times, enhancing overall crop productivity.

Enhanced Crop Quality:

IoT: Monitors and controls factors affecting crop quality, ensuring optimal conditions for high-quality produce.
AI: Analyses data to provide insights into factors influencing crop quality, leading to improved overall product quality.