Modern Agricultural Technologies (IoT, ICT, GIS, & AI)

A Comprehensive set of vocabulary flashcards covering traditional versus modern agriculture, IoT components, ICT applications, GIS/GPS technologies, agricultural robotics, and AI-driven farming solutions.

Traditional Agriculture

Farming that uses old, indigenous, and natural methods such as manual ploughing, shifting cultivation, and natural fertilizers like manure.

Modern Agriculture

Farming that utilizes advanced technology, machinery, and scientific techniques like precision agriculture, hydroponics, and genetically modified (GM) seeds.

Internet of Things (IoT)

A network of interconnected devices that collect, share, and analyse data through the internet to enable real-time monitoring and automation in farming.

Soil Moisture Sensors

IoT devices that monitor the moisture levels in the soil to inform and optimize irrigation decisions.

Weather Sensors

Devices that track temperature, precipitation, humidity, and wind speed to help farmers optimize practices based on environmental conditions.

Crop Health Sensors

Sensors that monitor plant health by assessing factors such as leaf temperature, chlorophyll content, and pest detection.

Nutrient Sensors

Devices that measure levels of essential nutrients in the soil to guide precise fertilization practices.

Actuators

Physical devices, such as smart irrigation systems and drones, that respond to the data collected by sensors.

LoRa (Long Range)

A communication technology used to connect IoT devices over long distances for seamless data transfer in agriculture.

Edge Computing

A technology that allows for local data processing at the device level, reducing latency and ensuring real-time decision-making.

Variable Rate Application (VRA)

The use of IoT data to apply fertilizers and pesticides more efficiently by targeting specific areas of the field.

Information and Communication Technology (ICT)

The integration of computers, telecommunications, and digital systems to store, process, transmit, and retrieve agricultural information efficiently.

E-agriculture (Digital Agriculture)

The use of ICT tools to facilitate information sharing between farmers, extension agents, and stakeholders via mobile apps and online marketplaces.

Geographic Information System (GIS)

A digital platform that enables the collection, storage, analysis, and visualization of spatial and geographic data using satellite imagery and topography.

Global Positioning System (GPS)

A satellite-based navigation system that provides accurate location data, including longitude, latitude, and altitude, for precise field operations.

Variable Rate Technology (VRT)

A precision farming technology used to apply fertilizers, pesticides, and water according to the specific needs of different field zones.

Weather-indexed Insurance

An insurance product where payouts are based on data from weather stations and satellite imaging rather than individual field assessments.

mKrishi

A mobile application developed by TCS that provides personalized advisory services, weather forecasts, and soil testing for farmers.

Kisan Suvidha

A mobile application launched by the Indian Government that provides weather reports, market prices, and agri-advisory services.

eNAM (National Agriculture Market)

A mobile app promoting the digital trading of agricultural commodities and payment integration in India.

Plantix

An AI-powered mobile app that uses image recognition to diagnose plant diseases, identify pests, and suggest treatments.

Fixed-Wing Drones

Unmanned aerial vehicles (UAVs) used to cover large areas for the purpose of mapping and surveying farmlands.

Rotary-Wing Drones

UAVs such as quadcopters and hexacopters used for precision spraying and crop monitoring tasks.

Agricultural Robotics

AI-powered machines designed to perform automated tasks such as planting, weeding, and harvesting with minimal human intervention.

Agrobot

An Al-based harvesting robot specifically designed for picking strawberries.

Connecterra's Ida AI

An Al-powered system that analyses dairy cows' behaviour to improve health management and milk production.

Yield Monitoring

The process of measuring the weight or volume of crops in real-time as they are being harvested using specialized sensors on machinery.

Yield Mapping

The conversion of yield data linked with GPS coordinates into a visual map that shows the variation in crop production across a field.

Digital Divide

A challenge in agricultural technology referring to the lack of internet access and technological skills in rural or remote areas.

Load Cells

Sensors used in yield monitoring systems to measure the weight of the harvested crop on the combine harvester's grain tank.

Variable Rate Irrigation (VRI)

Systems that apply different amounts of water depending on specific field conditions analyzed through GIS data.