اینترنت اشیاء و یادگیری ماشین در کشاورزی

دسته: مهندسی کشاورزی، هوش مصنوعی
اینترنت اشیاء و یادگیری ماشین در کشاورزی

سال انتشار: 2021  |  256 صفحه  |  حجم فایل: 11 مگابایت  |  زبان: انگلیسی

Internet of Things and Machine Learning in Agriculture
نویسنده:
Vishal Jain
ناشر:
Nova Science Publishers Inc
ISBN10:
1685071929
ISBN13:
‎9781685071929

 

قیمت: 12000 تومان

خرید کتاب توسط کلیه کارت های شتاب امکان پذیر است و بلافاصله پس از خرید، لینک دانلود فایل کتاب در اختیار شما قرار خواهد گرفت.

برچسب‌ها:  اینترنت اشیاء  یادگیری ماشین  

عناوین مرتبط:


Agriculture is one of the most fundamental human activities. It has kept humans happier and healthier and helped birth modern society as we know it. As farming has expanded, however, the usage of resources such as land, fertilizer, and water has grown exponentially. Environmental pressures from modern farming techniques have stressed our natural landscapes. Still, by some estimates, worldwide food production will need to increase 70% by 2050 to keep up with global demand. With global populations rising, it falls to technology to make farming processes more efficient and keep up with the growing demand. Fortunately, Machine Learning (ML) and the Internet of Things (IoT) can play a very promising role in the agricultural industry. Some examples include: an AI-powered drone to monitor the field, an IoT-designed automated crop watering system, sensors embedded in the field to monitor temperature and humidity, etc. The agriculture industry is the largest in the world, but when it comes to innovation there is a lot more to explore. IoT devices can be used to analyze the status of crops. For instance, with soil sensors, farmers can detect any irregular conditions such as high acidity and efficiently tackle these issues to improve their yield. In this book, we will point out the challenges facing the agro-industry that can be addressed by ML and IoT and explore the impacts of these technologies in the agriculture sector.


ارسال دیدگاه


 (الزامی)  (الزامی)
ایمیل شما نزد مدیر سایت محفوظ بوده و برای عموم نمایش داده نخواهد شد.