Читать книгу The Digital Agricultural Revolution - Группа авторов - Страница 40

As the population increases, the traditional methods of agriculture are not suitable, and adopting the latest technologies is essential for improving productivity and farmers’ income. The revolution in the latest technologies like Big Data, Cloud Computing, Internet of Things, and Satellite, and Drone-based image analysis has made a big impact in many Indian industries from IT to health care. Nearly 450 start-ups from India are using the latest technologies like AI, ML, blockchain, big data, drones, and IoT with the main aim of increasing agricultural productivity [24]. Gobasco is a private concern in Lucknow which offers an online marketplace for best buying and selling supply goods. Gramophone in Indore provides chatbots for farmers, which help farmers to have better crop cycles. Jivabhumi, Bengaluru uses blockchain technology to bridge the gap between farmers and consumers. Digital farming is adopted in the states of Gujarat, Maharashtra, and Rajasthan by Agrostar, Pune, which helps farmers 24/7 to know the crop requirements along with required services [26].

According to the NASSCOM report 2019, smart farming is predicted to reach 23.14 billion dollars by 2022. The following are some of the smart farming applications:

 precision farming uses IoT sensors in the field, and farmers can view the data through mobile applications;

 agricultural drones manage large farms using airborne sensors, which are capable of collecting thermal and visual data;

 livestock monitoring helps to detect sick animals;

 smart greenhouses use solar-powered sensors, which help the farmer remotely turn on/off the lights, fan, monitor temperature, and humidity, and so on;

 smart irrigation uses a sprinkler system along with an alert system;

 farm management system for collecting and storing sensor data in the cloud and access through various devices and applications;

 apart from soil health monitoring, optimal seed sowing, water management, and weed management, AI also helps in identifying plant diseases.