Recognition of bloom/yield in crop images using deep learning models for smart agriculture: A review
B Darwin, P Dharmaraj, S Prince, DE Popescu… - Agronomy, 2021 - mdpi.com
Precision agriculture is a crucial way to achieve greater yields by utilizing the natural
deposits in a diverse environment. The yield of a crop may vary from year to year depending …
deposits in a diverse environment. The yield of a crop may vary from year to year depending …
Emerging trends in machine learning to predict crop yield and study its influential factors: A survey
Agriculture is one of the most crucial field contributing to the development of any nation. It
not only affects the economy of nation but also has impact on the world food grain statistics …
not only affects the economy of nation but also has impact on the world food grain statistics …
Deep learning based wheat crop yield prediction model in Punjab region of North India
Crop yield prediction is an important aspect of agriculture. The timely and accurate crop
yield predictions can be of great help for policy makers and farmers in planning and decision …
yield predictions can be of great help for policy makers and farmers in planning and decision …
An ensemble deep learning approach for predicting cocoa yield
SS Olofintuyi, EA Olajubu, D Olanike - Heliyon, 2023 - cell.com
One important aspect of agriculture is crop yield prediction. This aspect allows decision-
makers and farmers to make adequate planning and policies. Before now, various statistical …
makers and farmers to make adequate planning and policies. Before now, various statistical …
[PDF][PDF] An Integrated Analysis of Yield Prediction Models: A Comprehensive Review of Advancements and Challenges.
N Parashar, P Johri, AA Khan, N Gaur… - Computers, Materials & …, 2024 - researchgate.net
The growing global requirement for food and the need for sustainable farming in an era of a
changing climate and scarce resources have inspired substantial crop yield prediction …
changing climate and scarce resources have inspired substantial crop yield prediction …
Estimation of Agri-Produce Using Deep Learning and Smart Vision by Using Prominent Feature Extraction
Agriculture needs a very high degree of physical as well as financial support. It is also an
important occupation for people all over the globe. Due to a lack of crop estimation …
important occupation for people all over the globe. Due to a lack of crop estimation …
An automated algorithm for fruit image dataset building
HB Mureşan - 2022 17th Conference on Computer Science …, 2022 - ieeexplore.ieee.org
This paper introduces a new algorithm that utilises images from the Fruits-360 dataset,
superimposes them of various backgrounds and creates associated annotation files with the …
superimposes them of various backgrounds and creates associated annotation files with the …
Dependency of the learning technique on the problem nature
AS Elkhateeb, HS Mancy, K Eldahshan - International Journal of …, 2023 - journals.ekb.eg
Indicators Perception and prediction based upon available datasets has recently gained an
increasing importance. Artificial intelligence (AI) is the backbone of perception and …
increasing importance. Artificial intelligence (AI) is the backbone of perception and …
Metodologías modernas de aprendizaje profundo para la detección de fruta
LG Cossio Montefinale - 2023 - repositorio.uchile.cl
Esta tesis presenta una revisión del estado del arte en detección de frutas, considerando los
distintos tipos de algoritmos, metodologías y tipos de frutos estudiadas. También se realiza …
distintos tipos de algoritmos, metodologías y tipos de frutos estudiadas. También se realiza …
[PDF][PDF] OVERVIEW OF RECENT DEEP LEARNING METHODS APPLIED IN FRUIT COUNTING FOR YIELD ESTIMATION.
HB MURESAN, AD CALIN… - Studia Universitatis …, 2020 - pdfs.semanticscholar.org
This paper is an overview of the latest advancements of image recognition for fruit counting
and yield estimation. Considering this domain is developing rapidly, we have considered the …
and yield estimation. Considering this domain is developing rapidly, we have considered the …