Novel Innovations Facilitating Digital Transformation of Agricultural Sector

Utilization of Innovative Digital Technologies to Enhance Farm Productivity and Profitability

INDUSTRY
Environment

RELEASE DATE
30-Jun-2020

REGION
Global

DELIVERABLE TYPE
Technology Research

RESEARCH CODE
D959-01-00-00-00

SKU
EN01197-GL-TR_24552

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Novel Innovations Facilitating Digital Transformation of Agricultural Sector
Published on: 30-Jun-2020 | SKU: EN01197-GL-TR_24552

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Description

The Food and Agricultural Organization (FAO) of the United Nations has identified that growing populations, rising affluence and urbanization are translating into increased threat to global food security. The agriculture sector has undergone a series of transformation since the 19th century, including mechanized agriculture as well as green revolution. Since 1980’s, agriculture industry embraced digital technologies to enable precision farming for maximized and optimized food production. Today, leveraging the advancements in Information and Communication Technologies (ICT), farms across the world are transforming digitally from mere precision farming to smart and digital farming. In contrast to precision farming that mainly relies on GPS, smart farming modernizes the agriculture sector through the use of automation, artificial intelligence (AI) and robotics. Unlike precision farming, smart farming involves conversion of farm data into actionable insights by enabling mass data communication in real time among various digital technologies. Thus, it paves way for an efficient route for monitoring, tracking, analyzing and optimizing various agricultural assets and production processes. Digitalization also currently ensures that the agricultural input resources are managed in a highly optimized, personalized, and intelligent manner. With the growing awareness among consumers to know how their food is being produced, digitalization of farms will enable traceability along the entire agricultural value chain.

Modern technologies which enables digital transformation of agriculture include:
Integration of automation technology, drones, spectral imagery, and sensors to increase crop yield reduce crop stress and monitor a range of parameters for enhanced farm management maximized productivity.
Utilization of agricultural robots and unmanned aerial vehicles (UAVs) for increased efficiency, reduced labor and reduced operational expenditures.
Increased use of livestock biometrics ensures maintenance of livestock health and will have a direct impact on the increase in yield of dairy products.

This research study focuses on:
Overview and Impact of Digital Technologies on Agriculture
Digital Technology Landscape and its Applications in Agriculture Value Chain
Innovations in Digital Technologies
Key Stakeholders involved in Digital technologies used in Agriculture.
Growth Opportunities and Analyst Insights

Table of Contents

1.0 Executive Summary

1.1 Research Scope

1.2 Research Process and Methodology

1.3 Key Findings

2.0 Overview of Digital Agricultural Technologies

2.1 The Need for Digital Technologies in Agriculture

2.2 Role of Digitalization in Agriculture

2.3 Conditions Enabling Digital Transformation of Agriculture

2.4 Benefits and Focus Areas Associated with Digitalization of Agriculture

2.5 Challenges Involved in Digitalization of Agriculture

2.6 Global Policies Facilitating Digitalization of Agriculture

2.7 Technology Landscape of Digital Agriculture in Value Chain

3.0 Digital Transformation of Agriculture – Innovation Ecosystem

3.1.1 Adoption of Artificial Intelligence for Real-time Crop Monitoring and Disease Diagnosis

3.1.2 AI-powered IoT Platform for Farms

3.1.3 Enabling Data-Driven Decision Making Capabilities in Agricultural Sector

3.1.4 Key Stakeholders Associated with AI

3.2 Drones and Robots

3.2.1 Utilization of Drones, UAVs, and Robots Enables Efficient Crop Assessment and Real-time Livestock Management

3.2.2 Enabling Faster Screening of Crops Using Specialized Hyperspectral Cameras

3.2.3 Cost Effective and Efficient Screening Methodology of Plants via Spectral Imagery

3.2.4 High Resolution Optical Imaging Utilizing Fluorophones Capable of Working in Near-infrared Spectrum

3.2.5 Utilizing Egyptian Blue for Cost Effective Optical Imaging & Microscopy

3.2.6 Machine Learning Powered Satellite Imagery for Monitoring Dynamic Land Surface

3.2.7 Enabling Real Time and Effective Satellite Imagery while Eliminating the Challenges Caused by Cloud Cover

3.2.8 Key Stakeholders Associated with Drones and Robots

3.2.9 Characteristic Features of Drones, Robots, and Satellites

3.3 Blockchain

3.3.1 Blockchain Platforms Enhance Traceability of Foods and Facilitate Transparent Agricultural Trading

3.3.2 Blockchain-based Platform Enabling Highly Efficient Food Supply Chain

3.3.3 Improving Accountability and Transparency within the Vast Food Supply Chain

3.3.4 Cloud-based Autonomic System for Delivering Agriculture-as-a-Service

3.3.5 Cost Effective and Efficient Cloud Based Service Enabling Growth in Smart Farming Adoption

3.3.6 Key Stakeholders Associated with Blockchain

3.4 Sensors and Wireless Communication Technologies

3.4.1 Sensors and Wireless Communication Technologies Aid in Real-time Measurement of Several Input Parameters

3.4.2 Low Maintenance and Battery-free Wireless Sensor Network for Advanced Agriculture

3.4.3 Enabling Advanced Agriculture via Cost Effective Sensor Technology

3.4.4 RFID-based Battery-free Sensors Enabling Cost-effective Precision Agriculture

3.4.5 Enabling Advanced Agriculture Techniques via Cost Effective and Low Maintenance Sensor Technology

3.4.6 Cost-effective Soil Sensing Using Wi-Fi

3.4.7 Enabling Precision farming Via Cost Effective Soil Moisture Mapping Technology

3.4.8 Key Stakeholders Associated with Sensors and Wireless Communication Technologies

4.0 Analysis

4.1 Key Successful Case Studies Utilizing Digital Technologies Agriculture

4.2 Impact of Digitalization of Agriculture on Sustainable Development Goals

4.3 Adoption of Digital Technologies in Agriculture in Developed Countries

4.4 Adoption of Digital Technologies in Agriculture in Developing Countries

5.0 Growth Opportunities

5.1 Growth Opportunity – R&D Investment

5.2 Growth Opportunity – Technology Convergence

5.3 Growth Opportunity – R&D Partnership

6.0 Analyst Insights

6.1 Key Analyst Insights on Digitalization of Agriculture

7.0 Key Contacts

7.1 Key Industry Contacts

7.1 Key Industry Contacts (continued)

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Details

The Food and Agricultural Organization (FAO) of the United Nations has identified that growing populations, rising affluence and urbanization are translating into increased threat to global food security. The agriculture sector has undergone a series of transformation since the 19th century, including mechanized agriculture as well as green revolution. Since 1980s, agriculture industry embraced digital technologies to enable precision farming for maximized and optimized food production. Today, leveraging the advancements in Information and Communication Technologies (ICT), farms across the world are transforming digitally from mere precision farming to smart and digital farming. In contrast to precision farming that mainly relies on GPS, smart farming modernizes the agriculture sector through the use of automation, artificial intelligence (AI) and robotics. Unlike precision farming, smart farming involves conversion of farm data into actionable insights by enabling mass data communication in real time among various digital technologies. Thus, it paves way for an efficient route for monitoring, tracking, analyzing and optimizing various agricultural assets and production processes. Digitalization also currently ensures that the agricultural input resources are managed in a highly optimized, personalized, and intelligent manner. With the growing awareness among consumers to know how their food is being produced, digitalization of farms will enable traceability along the entire agricultural value chain. Modern technologies which enables digital transformation of agriculture include: Integration of automation technology, drones, spectral imagery, and sensors to increase crop yield reduce crop stress and monitor a range of parameters for enhanced farm management maximized productivity. Utilization of agricultural robots and unmanned aerial vehicles (UAVs) for increased efficiency, reduced labor and reduced operational expenditures. Increased use of livestock biometrics ensures maintenance of livestock health and will have a direct impact on the increase in yield of dairy products. This research study focuses on: Overview and Impact of Digital Technologies on Agriculture Digital Technology Landscape and its Applications in Agriculture Value Chain Innovations in Digital Technologies Key Stakeholders involved in Digital technologies used in Agriculture. Growth Opportunities and Analyst Insights

More Information

More Information
Deliverable Type	Technology Research
No Index	No
Podcast	No
Author	Sharath Thirumalai
Industries	Environment
WIP Number	D959-01-00-00-00
Is Prebook	No

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