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Agriculture

Agriculture problem: precision Agriculture

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Literature review: Precision Agriculture problem for Agriculture

The “Ten Problems for Agriculture in the 2020s” booklet identifies ten relevant areas from very recent contributions put forward at academic level in the form of journal articles, conference proceedings and students theses. Ten freely accessible internet references have been selected for each area and direct links are provided at the end of each chapter for own consultation. Our selected references do not intend to mirror ranking indexes nor establish novel classifications. On the contrary, they are meant to represent peer-reviewed, diverse and scientifically-sound case studies for vertical dissemination aimed at non-specialist readers. They will also be able to scoop even more references through the bibliography that is reported at the end of each selected reference.

Without further ado, these are the ten problems that we are going to introduce in this booklet:

  1. climate change, 
  2. precision agriculture,
  3. crop planning,
  4. climate-smart,
  5. soil ecosystem,
  6. entrepreneurship,
  7. competitiveness,
  8. sustainability,
  9. developing countries,
  10. biological control.

Each problem has its own dedicated chapter made of an introductory section, a short presentation of the ten selected references and a conclusions section.

The final chapter of this booklet will report the conclusions from each chapter again in order to provide a complete executive summary.


2 Precision Agriculture

THE PROBLEM – Agriculture needs a more efficient use of natural resources and soil in order to mitigate climate change adversarial effects on productivity, reduce its greenhouse gases emissions and provide sustainable levels of income. In that sense, precision agriculture is generally seen as a way to achieve those goals through the use of digital technologies and optimization techniques. There is still a gap in adoption, though, which directly relates with size farms, age of farmers and information about costs and benefits.

CASE STUDIES — … buy this booklet from Amazon …

CONCLUSIONS — Even if not the revolutionary framework portrayed by media, precision agriculture is nevertheless becoming more and more relevant in developing countries, helping farmers achieve state-of-the-art results for efficiency and crops yield. In particular, aerial image processing and classification, satellite sensors, soil analysis, work automation, deep learning techniques and optimization algorithms are now being used. It remains to be achieved the full penetration of these tools in poorer, rural areas, where the awareness level is inferior, the investment costs are often unsustainable and only very basic implementations are possible. Besides, the most current issue, the COVID-19 pandemic, threatens the disruption of food production and supply systems everywhere.

TEN FREE REFERENCES FROM THE INTERNET — … buy this booklet from Amazon …


Agriculture
“Ten Problems for Agriculture in the 2020s” booklet for Amazon Kindle, 2020; click on the cover to go to the dedicated Amazon listing page

booklet updated on 5 Dec 2020, now on sale as version 1.1


By TenProblems

Literature Reviews for Inquisitive Minds