5 extractive question-and-answer pairs built from AI-based modules for vertical farming and protected cultivation of horticultural crops, published by epubs.icar.org.in. Source-evidenced topics include ai-based modules, vertical farming, protected cultivation, horticultural crops, artificial intelligence, space-efficient farming, greenhouses, polyhouses. Every answer is a verbatim span of text the source prints, and each row carries the passage it sits in, its offset in that passage, the source quote, the page and the location in the document, so any row can be checked against the original. Question types in the export: 2 factual, 2 list, 1 summary. 3 of the 5 pairs (60.0%) ask explanatory questions; the remaining 2 are factual or table-based questions. 100.00% of rows pass the corpus quality gate.
This dataset contains five extractive question-and-answer pairs focused on AI-based modules for vertical farming and protected cultivation of horticultural crops. The questions address topics such as the role of AI in enhancing productivity, sustainable farming methods, and the management of resources in controlled environments like greenhouses and polyhouses. The answers are directly sourced from a publication by epubs.icar.org.in, ensuring traceability to the original text. The dataset highlights the transformative impact of AI on traditional horticultural practices and its role in addressing urban farming challenges.
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# One-time install: pip install desidata
# Set DD_TOKEN in your environment first (create a free token in Profile & settings).
import desidata
df = desidata.load("epubs-icar-org-in-656be018b34d5762edd07eaee272e8e7")
df.head()First 5 of 5 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_document | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|---|
| How do AI-driven systems make farming more productive and sustainable? | offer a data-centric approach to address these challenges | The rapid advancements in Artificial Intelligence (AI) have significantly transformed traditional horticultural practices, particularly in vertical gardening and protected cultivation. As urban population increase, the demand for sustainable and space-efficient farming methods have intensified. Vertical farming and protected cultivation (like greenhouses and polyhouses) offer solutions by maximizing space and controlling environmental variables, respectively. achieving optimal results require precise management of resources, plant health, and environmental conditions. AI-driven systems offer a data-centric approach to address these challenges, making farming more productive, efficient, and sustainable. | 593 | summary | 0.970 | https://epubs.icar.org.in/index.php/IndHort/article/view/163667 | AI-driven systems offer a data-centric approach to address these challenges, making farming more productive, efficient, and sustainable. | p[0] | 0.700 | valid | |
| What farming methods address the demand for sustainable and space-efficient practices? | Vertical farming and protected cultivation | The rapid advancements in Artificial Intelligence (AI) have significantly transformed traditional horticultural practices, particularly in vertical gardening and protected cultivation. As urban population increase, the demand for sustainable and space-efficient farming methods have intensified. Vertical farming and protected cultivation (like greenhouses and polyhouses) offer solutions by maximizing space and controlling environmental variables, respectively. achieving optimal results require precise management of resources, plant health, and environmental conditions. AI-driven systems offer a data-centric approach to address these challenges, making farming more productive, efficient, and sustainable. | 296 | list | 0.820 | https://epubs.icar.org.in/index.php/IndHort/article/view/163667 | As urban population increase, the demand for sustainable and space-efficient farming methods have intensified. Vertical farming and protected cultivation (like greenhouses and polyhouses) offer solutions by maximizing space and controlling environmental variables, respectively. | p[0] | |||
| What is required to achieve optimal results in vertical farming and protected cultivation? | precise management of resources, plant health, and environmental conditions | The rapid advancements in Artificial Intelligence (AI) have significantly transformed traditional horticultural practices, particularly in vertical gardening and protected cultivation. As urban population increase, the demand for sustainable and space-efficient farming methods have intensified. Vertical farming and protected cultivation (like greenhouses and polyhouses) offer solutions by maximizing space and controlling environmental variables, respectively. achieving optimal results require precise management of resources, plant health, and environmental conditions. AI-driven systems offer a data-centric approach to address these challenges, making farming more productive, efficient, and sustainable. | 498 | list | 0.820 | https://epubs.icar.org.in/index.php/IndHort/article/view/163667 | achieving optimal results require precise management of resources, plant health, and environmental conditions. | p[0] | 0.700 | valid | |
| What has significantly transformed traditional horticultural practices? | The rapid advancements in Artificial Intelligence (AI) | The rapid advancements in Artificial Intelligence (AI) have significantly transformed traditional horticultural practices, particularly in vertical gardening and protected cultivation. As urban population increase, the demand for sustainable and space-efficient farming methods have intensified. Vertical farming and protected cultivation (like greenhouses and polyhouses) offer solutions by maximizing space and controlling environmental variables, respectively. achieving optimal results require precise management of resources, plant health, and environmental conditions. AI-driven systems offer a data-centric approach to address these challenges, making farming more productive, efficient, and sustainable. | 0 | factual | 0.530 | https://epubs.icar.org.in/index.php/IndHort/article/view/163667 | The rapid advancements in Artificial Intelligence (AI) have significantly transformed traditional horticultural practices, particularly in vertical gardening and protected cultivation. | p[0] | 0.700 | valid | |
| What do protected cultivation methods like greenhouses and polyhouses help control? | environmental variables | The rapid advancements in Artificial Intelligence (AI) have significantly transformed traditional horticultural practices, particularly in vertical gardening and protected cultivation. As urban population increase, the demand for sustainable and space-efficient farming methods have intensified. Vertical farming and protected cultivation (like greenhouses and polyhouses) offer solutions by maximizing space and controlling environmental variables, respectively. achieving optimal results require precise management of resources, plant health, and environmental conditions. AI-driven systems offer a data-centric approach to address these challenges, making farming more productive, efficient, and sustainable. | 425 | factual | 0.490 | https://epubs.icar.org.in/index.php/IndHort/article/view/163667 | Vertical farming and protected cultivation (like greenhouses and polyhouses) offer solutions by maximizing space and controlling environmental variables, respectively. | p[0] | 0.700 | valid |
Read straight from the file — download or use the API URL for the full dataset.
| 0.700 |
| valid |