Results 51 to 60 of about 73,997 (201)

Comparing Sensor-Based Adjustment of Weed Harrowing Intensity with Conventional Harrowing under Heterogeneous Field Conditions

Agronomy, 2021
Setting the right intensity is crucial for the success of post-emergence weed harrowing in cereals. The percentage of crop soil cover (CSC) correlates with the selectivity of weed harrowing.
Michael Spaeth, Matthias Schumacher, Roland Gerhards   +2 more
doaj   +1 more source

Data-Driven Projections Demonstrate Non-Farming Use of Cropland in Non-Major Grain-Producing Areas: A Case Study of Shaanxi Province, China

, 2023
The non-farming use of cropland has led to food insecurity in China due to drastic land use (LU) changes under the stresses of ecological restoration and urbanization, particularly in non-major grain-producing areas.
Peijun Sun, Meng Zhang, Linna Linghu, Yue Wu   +3 more
core   +1 more source

Unmanned Ground Vehicles for Continuous Crop Monitoring in Agriculture: Assessing the Readiness of Current ICT Technology

Machines
Continuous crop monitoring enables the early detection of field emergencies such as pests, diseases, and nutritional deficits, allowing for less invasive interventions and yielding economic, environmental, and health benefits.
Maurizio Agelli, Nicola Corona, Fabio Maggio, Paolo Vincenzo Moi   +3 more
doaj   +1 more source

Advances in automatic identification of flying insects using optical sensors and machine learning

Scientific Reports, 2021
Worldwide, farmers use insecticides to prevent crop damage caused by insect pests, while they also rely on insect pollinators to enhance crop yield and other insect as natural enemies of pests.
Carsten Kirkeby, Klas Rydhmer, Samantha M. Cook, Alfred Strand, Martin T. Torrance, Jennifer L. Swain, Jord Prangsma, Andreas Johnen, Mikkel Jensen, Mikkel Brydegaard, Kaare Græsbøll   +10 more
doaj   +1 more source

Automated Visual Identification of Foliage Chlorosis in Lettuce Grown in Aquaponic Systems

Agriculture, 2023
Chlorosis, or leaf yellowing, in crops is one of the quality issues that primarily occurs due to interference in the production of chlorophyll contents.
Rabiya Abbasi, Pablo Martinez, Rafiq Ahmad   +2 more
doaj   +1 more source

Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming

Frontiers in Veterinary Science, 2021
Deepfake technologies are known for the creation of forged celebrity pornography, face and voice swaps, and other fake media content. Despite the negative connotations the technology bears, the underlying machine learning algorithms have a huge potential
Suresh Neethirajan
doaj   +1 more source

Raman Method in Identification of Species and Varieties, Assessment of Plant Maturity and Crop Quality—A Review

Molecules, 2022
The present review covers reports discussing potential applications of the specificity of Raman techniques in the advancement of digital farming, in line with an assumption of yield maximisation with minimum environmental impact of agriculture.
Aneta Saletnik, Bogdan Saletnik, Czesław Puchalski   +2 more
doaj   +1 more source

DIGITALIZATION IN FARM MANAGEMENT

Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development, 2022
The paper analyzes the influence of digitalization on managerial activity in agriculture and highlights how the use of farm management software has an impact on overall economic efficiency. Romania is at the level of the European Union the country with the largest number of agricultural holdings. Farm management is one of the factors of production that
Ștefan VIZITEU, Stejărel BREZULEANU, Elena LEONTE, Cătălin Răzvan VÎNTU, Marius Mihai MICU   +4 more
openaire   +1 more source

Analysis of the Dynamics of Productive Performance of Organic Farming in the European Union

, 2022
This research is focused on identifying the potential of organic farming by testing the efficiency of productive yields and identifying pragmatic means to quantify it such as the function of the productive yield of organic farming.
Dragos Sebastian Cristea, Valentin Marian Antohi, Stefan Mihai Petrea, Costinela Fortea, Monica Laura Zlati, Romeo Victor Ionescu   +5 more
core   +1 more source

Towards Data-Driven Decisions in Agriculture—A Proposed Data Quality Framework for Grains Trials Research

Data
Future agriculture will depend on smart systems and digital technologies to improve food production and sustainability. Data-driven methods, such as artificial intelligence, will become integral to agricultural research and development, transforming how ...
Aakansha Chadha, Nathan Robinson, Judy Channon   +2 more
doaj   +1 more source