DIGITAL AGRICULTURE THROUGH SMART FARMING

8 students

Objectives

  1. To develop skills of students / farmers (end users) about handling software and data processing, AGVs and robots on farm for Smart Farming/DigitalFarming.
  2. To build capacities of students / farmers (end users) for enhancing productivity with drudgeryreduction.
Brief Content

This course highlights the modern concepts of agronomy in relation to precision farming and digital farming. This course will enable students to conduct research on precision farming, variable resource techniques, and data processing. The course will provide practical knowledge of handling Drones, AGVs and Agribots useful in agronomic operations.

Introduction

Agronomy of major crops including package of modern practices followed in smart farming like sowing, weed management, Irrigation Management, Plant protection, special operations and harvesting using AGVs and Agribots.

Part – I

Exiting farming practices and potentials of digital farming practices. Characteristics of present global and national agriculture, solutions to present challenges in agriculture using Digital Farming technology, AGVs and Agribots.

Part-II

Co- coordinating modern agronomic practices with precision agriculture by using sensor applications, drones, AVGs and Agribots. Use of digital data for soil and crop management. Application of AGVs and Drones for solution of specific problems like picking of Cotton, harvesting of sorghum, bajra, soybean and sugarcane, trash and residue management, reducing the labour expenses for reducing cost of cultivation.

Outcome

Course at its end will achieve Skill development in handling Drones, AGVs, Agbots, through hands on training required for smart agriculture. Enhanced productivity through digitization of agriculture.

Curriculum is empty

Instructor

Master in Agriculture sciences having India and abroad working experince in Horticulture industry.

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