Name: Internet and Computers for Agriculture (en Inglés)
SKU: 57889043
Price: 108.14 USD
Availability: InStock
Author: Dimitrov, Dimitre

portada Internet and Computers for Agriculture (en Inglés)

Internet and Computers for Agriculture (en Inglés)

Formato

Libro Físico

Editorial

Mdpi AG

Autor

Dimitrov, Dimitre

Idioma

Inglés

N° páginas

436

Encuadernación

Tapa Dura

Dimensiones

24.4x17x3.3 cm

Peso

1.13 kg.

ISBN13

9783036566306

Categorías

Biología, ciencias de la vida

Internet and Computers for Agriculture (en Inglés)

Dimitrov, Dimitre (Autor) · Mdpi AG · Tapa Dura

Libro Nuevo Importado

Envío: 21 a 28 días háb.

$ 216.28$ 108.14

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 108.14

Llega entre el 16 Sep y el 29 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Internet and Computers for Agriculture (en Inglés)"

Given the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a planetary scale. Agriculture 4.0 involves a large variety of mobile apps, web applications, Internet of Things (IoT) devices and platforms, drones, robots, and smart machinery for precision agriculture. The expansion of cloud technologies, artificial intelligence (AI), machine learning (ML), deep learning (DL), and big data collection are setting the stage for Agriculture 5.0. Agriculture science and natural sciences are further promoting this trend with the development of leading-edge scientific models and platforms, including stochastic, process-based, and data-driven machine learning modeling.This Special Issue covers the most recent and up-to-date progress in all aspects of internet and computer software applications in agriculture, focusing on the development of web applications and mobile apps, smart IoT devices and platforms, AI, ML and DL solutions in precision agriculture for detection, recognition, classification, monitoring, cultivation, harvesting, and marketing; development of cloud technologies for smart agriculture; computer and machine vision methods and applications for drones and smart machinery, and sensors for field operations; diagnostics and data collection; big data science; scientific process-based and stochastic modeling; and machine learning modeling for agriculture, agroecosystems and natural ecosystems. The research in this Special Issue will contribute to the promotion of modern agriculture practices in the current climate and in the future.