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4 books on Agricultural software [PDF]
March 15, 2025 | 21 |
These books are covering agricultural software functions, such as crop management, precision agriculture, farm inventory tracking, livestock management, soil health monitoring, financial analysis and supply chain optimization.
1. Encyclopedia of Digital Agricultural Technologies
2023 by Qin Zhang
Once upon a time, farming was about dirt, sweat and the occasional existential argument with the weather. Now, thanks to digital agriculture, it’s about algorithms, AI-driven tractors and machines that can probably predict a cornfield’s mood swing before the farmer even wakes up. Encyclopedia of Digital Agricultural Technologies by Qin Zhang is a grand, alphabetized deep dive into this brave new world, where robots, automation and precision agriculture are conspiring to make farming as futuristic as a space station—except with more cows and fewer zero-gravity issues. This encyclopedia covers everything from postharvest tech to AI-driven irrigation, all carefully curated by experts who have ensured that even the most bewildered farmer can understand why their new autonomous tractor insists on updating its software at the worst possible moment. With continuously updated content and a limitless supply of jargon that somehow all boils down to making farming smarter, this is the ultimate guide for researchers, engineers and anyone wondering if their vegetables now come with WiFi.
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2. Machine Learning and Artificial Intelligence for Agricultural Economics
2021 by Chandrasekar Vuppalapati
For centuries, farming was a game of patience, intuition and occasionally yelling at the sky. But now, thanks to Machine Learning and Artificial Intelligence for Agricultural Economics, it can also be a game of algorithms, data models and occasionally yelling at malfunctioning software. Chandrasekar Vuppalapati explores how AI and machine learning can revolutionize agricultural economics, helping small-scale farmers make better decisions, optimize resources and maybe even avoid a financial apocalypse caused by unpredictable weather and global trade tantrums. This book serves as a guide for data scientists, engineers and anyone brave enough to merge economic models with farming, all while wrangling AI into something that actually benefits humanity instead of just recommending slightly better movie choices. Covering everything from data integration to algorithm development and prognostics (which is just a fancy way of saying fortune-telling with math), this book is perfect for researchers, professionals and anyone who ever wondered if a neural network could outguess an old farmer’s weather-worn instincts. Spoiler: it’s a close call.
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3. Software Engineering Techniques Applied to Agricultural Systems: An Object-Oriented and UML Approach
2014 by Petraq J. Papajorgji, Panos M. Pardalos
Once upon a time, agriculture was all about soil, sunshine and occasionally yelling at the weather. But in the grand tradition of making everything vastly more complicated, software engineering has entered the barnyard. Software Engineering Techniques Applied to Agricultural Systems boldly explores what happens when you apply object-oriented programming, UML diagrams and model-driven architecture to farming, because apparently, plows and spreadsheets weren’t exciting enough. Petraq J. Papajorgji and Panos M. Pardalos take readers on a journey through conceptual modeling, dynamic system diagrams and even the Model-View-Controller pattern—because nothing says “practical farming” like a well-structured software architecture. This book is perfect for students, researchers and software developers who enjoy making tractors more intelligent than some politicians and for anyone who has ever looked at a field and thought, You know what this needs? More UML diagrams.
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4. Environmental and Agricultural Modelling:: Integrated Approaches for Policy Impact Assessment
2010 by Floor M. Brouwer, Martin van Ittersum
Farming used to be simple: plant things, hope they grow, blame the weather when they don’t. But in a world of climate change, economic upheavals and policy decisions made by people who have never seen a tractor up close, agriculture has become an incredibly complex balancing act. Enter Environmental and Agricultural Modelling: Integrated Approaches for Policy Impact Assessment, a book that bravely attempts to wrangle all these chaotic variables into something that actually makes sense. Floor M. Brouwer and Martin van Ittersum guide readers through the fine art of using integrated assessment models (which are basically very sophisticated, science-backed ways of saying, What if we tried this instead?). Covering everything from individual farms to the European Union’s agricultural headaches to the global implications of an expanding marketplace, this book is essential for policymakers, researchers and anyone who has ever wondered how farming will survive in a world where even the weather seems to be running experimental beta software.
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How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Encyclopedia of Digital Agricultural Technologies
2023 by Qin Zhang
Once upon a time, farming was about dirt, sweat and the occasional existential argument with the weather. Now, thanks to digital agriculture, it’s about algorithms, AI-driven tractors and machines that can probably predict a cornfield’s mood swing before the farmer even wakes up. Encyclopedia of Digital Agricultural Technologies by Qin Zhang is a grand, alphabetized deep dive into this brave new world, where robots, automation and precision agriculture are conspiring to make farming as futuristic as a space station—except with more cows and fewer zero-gravity issues. This encyclopedia covers everything from postharvest tech to AI-driven irrigation, all carefully curated by experts who have ensured that even the most bewildered farmer can understand why their new autonomous tractor insists on updating its software at the worst possible moment. With continuously updated content and a limitless supply of jargon that somehow all boils down to making farming smarter, this is the ultimate guide for researchers, engineers and anyone wondering if their vegetables now come with WiFi.
Download PDF
2. Machine Learning and Artificial Intelligence for Agricultural Economics
2021 by Chandrasekar Vuppalapati
For centuries, farming was a game of patience, intuition and occasionally yelling at the sky. But now, thanks to Machine Learning and Artificial Intelligence for Agricultural Economics, it can also be a game of algorithms, data models and occasionally yelling at malfunctioning software. Chandrasekar Vuppalapati explores how AI and machine learning can revolutionize agricultural economics, helping small-scale farmers make better decisions, optimize resources and maybe even avoid a financial apocalypse caused by unpredictable weather and global trade tantrums. This book serves as a guide for data scientists, engineers and anyone brave enough to merge economic models with farming, all while wrangling AI into something that actually benefits humanity instead of just recommending slightly better movie choices. Covering everything from data integration to algorithm development and prognostics (which is just a fancy way of saying fortune-telling with math), this book is perfect for researchers, professionals and anyone who ever wondered if a neural network could outguess an old farmer’s weather-worn instincts. Spoiler: it’s a close call.
Download PDF
3. Software Engineering Techniques Applied to Agricultural Systems: An Object-Oriented and UML Approach
2014 by Petraq J. Papajorgji, Panos M. Pardalos
Once upon a time, agriculture was all about soil, sunshine and occasionally yelling at the weather. But in the grand tradition of making everything vastly more complicated, software engineering has entered the barnyard. Software Engineering Techniques Applied to Agricultural Systems boldly explores what happens when you apply object-oriented programming, UML diagrams and model-driven architecture to farming, because apparently, plows and spreadsheets weren’t exciting enough. Petraq J. Papajorgji and Panos M. Pardalos take readers on a journey through conceptual modeling, dynamic system diagrams and even the Model-View-Controller pattern—because nothing says “practical farming” like a well-structured software architecture. This book is perfect for students, researchers and software developers who enjoy making tractors more intelligent than some politicians and for anyone who has ever looked at a field and thought, You know what this needs? More UML diagrams.
Download PDF
4. Environmental and Agricultural Modelling:: Integrated Approaches for Policy Impact Assessment
2010 by Floor M. Brouwer, Martin van Ittersum
Farming used to be simple: plant things, hope they grow, blame the weather when they don’t. But in a world of climate change, economic upheavals and policy decisions made by people who have never seen a tractor up close, agriculture has become an incredibly complex balancing act. Enter Environmental and Agricultural Modelling: Integrated Approaches for Policy Impact Assessment, a book that bravely attempts to wrangle all these chaotic variables into something that actually makes sense. Floor M. Brouwer and Martin van Ittersum guide readers through the fine art of using integrated assessment models (which are basically very sophisticated, science-backed ways of saying, What if we tried this instead?). Covering everything from individual farms to the European Union’s agricultural headaches to the global implications of an expanding marketplace, this book is essential for policymakers, researchers and anyone who has ever wondered how farming will survive in a world where even the weather seems to be running experimental beta software.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
