Digital Ecosystem for Innovation in Agriculture
tarafından
 
Chaudhary, Sanjay. editor.

Başlık
Digital Ecosystem for Innovation in Agriculture

Yazar
Chaudhary, Sanjay. editor.

ISBN
9789819905775

Basım Bilgisi
1st ed. 2023.

Fiziksel Tanımlama
XIX, 270 p. 113 illus., 99 illus. in color. online resource.

Seri
Studies in Big Data, 121

İçerik
A Brief Review of Tools to Promote Transdisciplinary Collaboration for Addressing Climate Change Challenges in Agriculture by Model Coupling -- Machine Learning and Deep Learning in Agriculture - A review -- Need of orchestration platform to unlock the potential of remote sensing data -- An Algorithmic Framework for fusing images from satellites, Unmanned Aerial Vehicles (UAV), and Farm Internet of Things (IoT) Sensors -- Globally Scalable and Locally Adaptable Satellite Solutions for Agriculture -- A Theoretical Framework of Agricultural Knowledge Management Process in the Indian Agriculture Context -- Simple and innovative methods to estimate gross primary production and transpiration of crops: a review -- Role of Virtual Plants in Digital Agriculture -- Remote sensing for mango and rubber mapping and characterisation for carbon stock estimation- Case study of Malihabad tahsil (UP) and West Tripura District, India -- Impact of Vegetation Indices on Wheat Yield Prediction using Spatio-TemporalModeling -- Farm-wise estimation of crop water requirement of major crops using deep learning architecture -- Hyperspectral Remote Sensing for Agriculture Land Use and Land Cover Classification -- Computer Vision Approaches for Plant Phenotypic Parameter Determination.

Konu Terimleri
Computational intelligence.
 
Artificial intelligence.
 
Agriculture.
 
Big data.

Yazar Ek Girişi
Chaudhary, Sanjay.
 
Biradar, Chandrashekhar M.
 
Divakaran, Srikrishnan.
 
Raval, Mehul S.

Tüzel Kişi Ek Girişi
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-981-99-0577-5


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