S

Sachin

Question 7GS3GS1

AI and Machine learning have revolutionised a number of industries, how can these technologies be deployed to improve Agricultural production and Productivity? (Answer in 250 words) 15 marks

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AnswerStrengthsGapsKeywords

Introduction

Artificial Intelligence (AI) refers to the field of computer science that focuses on creating intelligent machines capable of performing tasks mimicking human intelligence. While machine learning is branch of artificial intelligence that focuses on developing models that enable computers to learn & make predicting or decision without being explicitly programmed.

50 words

Main Body

AI & ML to improve agricultural production & productivity

A) Pre Production

1Large volume of agricultural data can be processed to provide decision making support
2Weather forecasting
3Agricultural extension service - provide answers to variety of farmers queries

Data driven choice on what crops to plant and advises on agronomy services

5Crop disease identification & pest management

Production phase

1Resource optimization based on identifying pattern, trends & correlation
2Yield prediction - based on analysis of weather, crop health etc to optimize farming practices
3Precision agriculture - Applying AI & ML techniques to manage agricultural processes with precision

a) Automated Irrigation, long monitoring

4Livestock management

Post production

1Better price discovery, transparency & competition
2Supply chain management - facilitate end to end service across agriculture food value chain
4Data driven choice on what crops to plant and advises on agronomy services
5Crop disease identification & pest management

Production phase

1Resource optimization based on identifying pattern, trends & correlation
2Yield prediction - based on analysis of weather, crop health etc to optimize farming practices
3Precision agriculture - Applying AI & ML techniques to manage agricultural processes with precision

a) Automated Irrigation, long monitoring

4Livestock management

Post production

1Better price discovery, transparency & competition
2Supply chain management - facilitate end to end service across agriculture food value chain
232 words8 paragraphs
Answer continues on next page
  • Comprehensive coverage of AI/ML applications across agricultural value chain
  • Clear categorization (pre-production, production, post-production phases)
  • Practical examples provided
  • Good understanding of emerging technologies in agriculture

Open original scan

Page 19

Topper

Sachin

Subject & Paper

GS3GS1

Topic

Agricultural Development

AI and Machine Learning in Agriculture

Technology deployment for agricultural productivity

Writing Stats

282

Total words

8

Paragraphs

Technical and structured

Tone