Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review
In India, agriculture serves as the backbone of the economy, and is a primary source of
employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and …
employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and …
Exogenous variable driven deep learning models for improved price forecasting of TOP crops in India
Accurately predicting agricultural commodity prices is crucial for India's economy. Traditional
parametric models struggle with stringent assumptions, while machine learning (ML) …
parametric models struggle with stringent assumptions, while machine learning (ML) …
Machine learning based pedantic analysis of predictive algorithms in crop yield management
Predictive analytics is a statistical technique used to forecast and investigate the
development from past chronological data or to extract the information from data. With the …
development from past chronological data or to extract the information from data. With the …
Forecasting rainfed agricultural production in arid and semi-arid lands using learning machine methods: A case study
With the rising demand for food products and the direct impact of climate change on food
production in many parts of the world, recent years have seen growing interest in the subject …
production in many parts of the world, recent years have seen growing interest in the subject …
Sugarcane yield prediction and genotype selection using unmanned aerial vehicle‐based hyperspectral imaging and machine learning
Sugarcane (Saccharum spp. interspecific hybrids), a high biomass perennial crop, in which
manual data collection for early yield prediction, through its growth cycle (∼ 12 mo long), is …
manual data collection for early yield prediction, through its growth cycle (∼ 12 mo long), is …
Crop yield forecasting by long short‐term memory network with Adam optimizer and Huber loss function in Andhra Pradesh, India
JR Dwaram, RK Madapuri - Concurrency and Computation …, 2022 - Wiley Online Library
In recent times, crop yield prediction gains more attention among researchers communities
to expand food production. In this article, an effort is done for crop yield prediction in Andhra …
to expand food production. In this article, an effort is done for crop yield prediction in Andhra …
High-precision sugarcane yield prediction by integrating 10-m Sentinel-1 VOD and Sentinel-2 GRVI indexes
L Zhu, X Liu, Z Wang, L Tian - European Journal of Agronomy, 2023 - Elsevier
Develo** accurate models of sugarcane yield map** at fine-scale is of paramount
importance and will benefit many aspects of managing growth and harvest of sugarcane …
importance and will benefit many aspects of managing growth and harvest of sugarcane …
Cocoa beans classification using enhanced image feature extraction techniques and a regularized Artificial Neural Network model
Cut-Test technique employs visual inspection of interior coloration, compartmentalization,
and defects of beans for effective classification of cocoa beans. However, due to its …
and defects of beans for effective classification of cocoa beans. However, due to its …
[HTML][HTML] Prospects of artificial intelligence for the sustainability of sugarcane production in the modern era of climate change: An overview of related global findings
By analysing biochemical composition, assessing soil quality, projecting yields, predicting
productivity, identifying illnesses, and predicting productivity, artificial intelligence (AI) has …
productivity, identifying illnesses, and predicting productivity, artificial intelligence (AI) has …
Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models
In an era marked by growing global population and climate variability, ensuring food security
has become a paramount concern. Rice, being a staple crop for billions of people, requires …
has become a paramount concern. Rice, being a staple crop for billions of people, requires …