Horticulture 4.0: Adoption of industry 4.0 technologies in horticulture for meeting sustainable farming

R Singh, R Singh, A Gehlot, SV Akram, N Priyadarshi… - Applied Sciences, 2022 - mdpi.com
The United Nations emphasized a significant agenda on reducing hunger and protein
malnutrition as well as micronutrient (vitamins and minerals) malnutrition, which is estimated …

Bio-inspired robots and structures toward fostering the modernization of agriculture

M Kondoyanni, D Loukatos, C Maraveas, C Drosos… - Biomimetics, 2022 - mdpi.com
Biomimetics is the interdisciplinary cooperation of biology and technology that offers
solutions to practical problems by analyzing biological systems and transferring their …

[HTML][HTML] Optimizing machine learning for agricultural productivity: A novel approach with RScv and remote sensing data over Europe

SBHS Asadollah, A Jodar-Abellan, MÁ Pardo - Agricultural Systems, 2024 - Elsevier
CONTEXT Accurate estimating of crop yield is crucial for developing effective global food
security strategies which can lead to reduce of hunger and more sustainable development …

Remote detection and measurement of leaf-cutting ant nests using deep learning and an unmanned aerial vehicle

A dos Santos, BJG Biesseck, N Latte… - … and Electronics in …, 2022 - Elsevier
Leaf-cutting ants are the main group of insect pests in Brazilian forest plantations, and their
nests can be visually identified in remotely sensed images. This study compares two distinct …

Real-Time Detection of Apple Leaf Diseases in Natural Scenes Based on YOLOv5

H Li, L Shi, S Fang, F Yin - Agriculture, 2023 - mdpi.com
Aiming at the problem of accurately locating and identifying multi-scale and differently
shaped apple leaf diseases from a complex background in natural scenes, this study …

[HTML][HTML] Establishment of online deep learning model for insect-affected pests in “Yali” pears based on visible-near-infrared spectroscopy

Y Hao, C Zhang, X Li, Z Lei - Frontiers in Nutrition, 2022 - frontiersin.org
Insect-affected pests, as an important indicator in inspection and quarantine, must be
inspected in the imports and exports of fruits like “Yali” pears (a kind of duck head-shaped …

[PDF][PDF] Crops leaf diseases recognition: A framework of optimum deep learning features.

S Abbas, MA Khan, M Alhaisoni, U Tariq… - … , Materials & Continua, 2023 - researchgate.net
Manual diagnosis of crops diseases is not an easy process; thus, a computerized method is
widely used. From a couple of years, advancements in the domain of machine learning …

[PDF][PDF] 基于苹果朝向的最大横切面直径检测方法

余江帆 - 中国农业大学学报, 2024 - zgnydxxb.ijournals.cn
摘要为提高运动苹果的采后分选精度, 设计一种基于苹果朝向的最大横切面直径检测方法.
采集苹果在传送杆上多位置, 多姿态RGB 图像, 利用张氏标定法进行图像畸变校正 …

Apple's In-Field Grading and Sorting Technology: A Review

J Yu, Z Zhang, M Mhamed, D Yuan, X Wang - Towards Unmanned Apple …, 2023 - Springer
Quality inspection is crucial to raise people's living standards in the realm of processing
fruits and vegetables. Since apples are one of the best-producing crops, post-harvest infield …

Smart Farming (Ai-Generated) as an Approach to Better Control Pest and Disease Detection in Agriculture: POV Agricultural Institutions

TN Hashem, JMM Joudeh, AM Zamil - Migration Letters, 2024 - migrationletters.com
Purpose–The purpose of current study was to examine the role of smart farming through
artificial intelligence (AI)(Data Integration; Machine Learning; Sensor Technologies; Image …