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Embracing smart irrigation management techniques empowers growers to irrigate with greater efficiency, thereby promoting sustainable agricultural production. In this context, growers often rely on crop evapotranspiration (ETc) as a key factor in making informed irrigation decisions, underscoring the significance of accurately determining and spatially mapping crop water status. Technological progress, exemplified by the emergence of unmanned aerial vehicles (UAVs), has brought about a revolutionary shift in agricultural monitoring. UAV platforms can capture high-resolution images with centimeter-level spatial accuracy and offer higher temporal coverage compared to satellite imagery. Considering these advancements, this study introduces a robust method for classifying water stress in cotton using a compact UAV platform and convolutional neural networks (CNN). The experiment was conducted at the USDA-ARS Cropping Systems Research Laboratory (CSRL) in Lubbock, Texas, where the cotton field was divided into 12 drip zones. The study included three replications to evaluate four irrigation treatments: “rainfed”, “full irrigation”, “percent deficit of full irrigation”, and “time delay of full irrigation”. The results demonstrated that the CNN model successfully classified the cotton water stress using the UAV-based RGB image, achieving an overall best prediction accuracy of approximately 91%. By segmenting the original cotton images into separate canopy and soil areas using morphological image processing methods, the authors also isolated and analyzed the individual contributions of these components to cotton water stress. Additionally, a random forest classifier revealed the relative importance of different image features in the classification process through feature importance analysis. These findings highlighted the state-of-the-art performance of the proposed system in cotton water stress classification and provided valuable insights into the key image features contributing to accurate classification. The authors concluded that integrating UAV-based RGB imagery and CNN models had great potential for assessing water stress in cotton.

A new approach to measure spatial variability of soil parameters and field technique to test-value specific fertilizer

Information on the distribution of soil properties is important to know the status of nutrients in the soils based on which fertilizer nutrients are recommended. Given the variability of nutrients in the soils, making a site-specific fertilizer recommendation seems to be a compelling work. To determine the spatial variability of soil nutrients and to make judicious and precise fertilizer recommendations, new measures are designed with this study. These measures are tested against the soil samples (n = 43) for total nitrogen (N), organic matter (OM), phosphorus (P2O5), and potassium (K2O) in the study area. The descriptive statistical analysis indicated an average of low nitrogen and organic matter, while phosphorus was found to be very high and the level of potassium was high. The spread of nutrients across the data sets, however, included low, medium, high, and very high levels of ratings. The Deviation Square Index was developed and applied for the variability measurement and found that the largest variation was with phosphorus distribution, followed by potassium, nitrogen, and organic matter. The coefficient of variation (CV%) analysis also exhibited similar trends in nutrient distributions. Nitrogen was the main determinant explaining the variations in rice yield, while phosphorus and potash were negatively related to the yield. An index of fertilizer nutrient recommendation called Test-Value Specific Dose (TVSD) was developed and used to calculate the nutrient recommendation for each sampled location. This new method gave easy and more accurate doses of fertilizer over the blanket recommendation to fit the variations across the soil samples.

2025

Vol 6, No 3 (2025)

Vol 6, No 2 (2025)

Nutrient management improves land and soil properties by enhancing the nutrient content and structure, promoting sustainable agricultural productivity and crop health. This issue showcases several works including the land use impacts on soil properties in rainforests, resource use and profitability of a cowpea-based farming system, use of organomineral products in agriculture and the effects of pesticide residues on soil microbes population. Understanding these physical and chemical properties of soils helps us to develop better systems to improve agricultural productivity and crop resilience. The issue also features a review on the impact of climate change on agriculture and economic growth, where changes in greenhouse gas concentration, temperature, rainfall patterns, cloud cover and others are detrimental to agricultural production and subsequently towards economic growth.

Vol 6, No 1 (2025)

Water overexploitation in agriculture can be caused by inefficient irrigation practices and infrastructure, leading to reduced crop yields and land degradation. The proper use of land and water resource are essential to achieve long-term agricultural sustainability. This issue highlights works on sustainable agricultural water productivity, eco-farming policies and agricultural inputs on farming for certain regions. There is also a review on the strategies to optimize resource utilization for urban agricultural systems. These works provide a better outlook on the individual and collaborative interactions within an urban city to address water and resource utilization, to support a more resilient agricultural ecosystem.

2024

Vol 5, No 4 (2024)

In the symphony of technology and nature, this collection of studies unfolds like a multidimensional canvas of agricultural revolution. From the three-dimensional reconstruction technology weaving holographic blueprints of crop growth in digital precision, to the gradual replacement of roaring diesel engines with the silent, zero-emission hum of electric tractors; from the genetic "whispers" in cornfields (the yield miracle of the L10×T2 hybrid) unlocking productivity barriers, to smallholder farmers in Afghanistan’s rugged terrain battling climate extremes with ancient wisdom; and along the Nile, rice growers navigating water scarcity and policy puzzles to decode the mathematical enigma of supply elasticity—these studies collectively sketch a global agricultural transformation spanning technology, ecology, and humanity. The highlights lie in how AI and sensors equip farming with "intelligent eyes," clean-energy machinery reshapes the rhythm of fields, genetic compatibility reveals golden rules of life’s propagation, and social-ecological perspectives translate the struggles of vulnerable regions into resilient strategies. Each paper is both a laboratory-crafted equation and a story rooted in soil, offering scholars a key: how to balance the race of innovation with nature’s limits, crafting a sustainable future for global food security.

Vol 5, No 3 (2024)

Welcome to Volume 5, Issue 3 of Advances in Modern Agriculture. This issue offers the most recent research findings in modern agriculture from novel research viewpoints, revealing the current concerns in modern agriculture. This issue includes an analysis of agricultural sector indicators, the performance of modern farming machines, the environmental conditions for high crop yields, and biomaterials' application in agriculture. These papers underline the close connection between agriculture and sustainability, investigate the best approaches to improve agricultural production, and provide impetus for the advancement of modern agricultural research.

Vol 5, No 2 (2024)

This issue emphasizes the important role of technology in agricultural development and delves further into how to address the challenges faced by agriculture. The rapid growth of technology and industry has a significant impact on the advancement of contemporary agriculture. For example, by applying remote sensing technology, people can precisely comprehend rice planting conditions and provide relevant information to those working in associated industries; strategic use of control and automation systems has the potential to increase agricultural output. The application of hybridization technology is the focus of this issue. This issue delves into the utilization of interspecific hybridization of cotton plants to improve resistance to wilt disease, as well as the successes, challenges, and future possibilities of small-scale livestock and poultry genetic improvement through hybridization in Africa. Furthermore, climate change has a substantial impact on agriculture, and one article in this issue investigates how to establish appropriate policies to mitigate the negative effects of climate change on agriculture. In short, modern agriculture is inextricably linked to technology, and actively and properly employing technology can promote the sound growth of agriculture. This journal always welcomes submissions on modern agricultural technology.

Vol 5, No 1 (2024)

Agricultural development is closely linked to the ability to adapt to and mitigate the effects of climate variability, as well as to develop resilient farming practices and technologies that can withstand changing climatic conditions. Changes in climate patterns, including variations in temperature, precipitation, and extreme weather events, can significantly impact agricultural productivity, crop yields, and livestock management. These variations can lead to challenges such as droughts, floods, heatwaves, and shifting growing seasons, affecting the availability of water resources, soil fertility, and the prevalence of pests and diseases. This issue focuses on examining the relationship between climate variability and agricultural development, aiming to provide readers with new insights into food security, sustainable land use, and the livelihoods of farming communities.

2023

Vol 4, No 2 (2023)

Two key aspects of modern agriculture that are often emphasized are high-yield farming and sustainable agriculture. The latest issue of Advances in Modern Agriculture showcases a diverse array of innovative research aimed at enhancing agricultural productivity and sustainability, and offers a comprehensive look at the multifaceted efforts to advance high-yield, resilient, and environmentally conscious agricultural practices. The insights gained from these studies can inform the development of more robust and inclusive food systems to meet the growing global demand.

Vol 4, No 1 (2023)

Intelligent fertigation stands as a pivotal pillar of sustainable agriculture. This issue features diverse research topics that collectively underscore the critical role of intelligent fertigation in promoting sustainable agricultural practices. From biofertilization alternatives and modern irrigation technologies to the evaluation of agricultural machinery operation and water use efficiency, these studies highlight the multifaceted impact of fertigation systems on enhancing crop productivity, resource management, and environmental sustainability, and emphasize the significance of advanced techniques and technologies in fostering a more efficient, environmentally conscious approach to agricultural production.

2022

Vol 3, No 2 (2022)

The agriculture industry has undergone significant transformations in recent decades, evolving from traditional, labor-intensive practices to a more industrialized and technologically advanced sector. This transition has been driven by several factors, including the need to meet the growing global demand for food, the desire to improve efficiency and productivity, and the advancements in various scientific and technological fields. The latest issue showcases cutting-edge research and innovations that are shaping the modern agricultural landscape. The papers in this edition highlight the industry's steady progress toward more efficient, sustainable, and technology-driven practices. This publication provides a multidisciplinary perspective that underscores the need for integrated solutions to address the complex challenges facing the modern agricultural industry.

Vol 3, No 1 (2022)

The latest issue of Advances in Modern Agriculture showcases cutting-edge research and innovations that are driving the transformation of the agricultural industry toward a more sustainable, efficient, and technologically driven future. The diverse array of topics covered in this edition underscores the multifaceted nature of modern agriculture and the multitude of strategies being explored to address its complex challenges. By presenting a wide range of perspectives and innovative approaches, the journal provides readers with a holistic understanding of the dynamic changes shaping the agricultural landscape.

2021

Vol 2, No 2 (2021)

The latest issue collectively highlights the intersection of agriculture, sustainable development, and green technology, emphasizing the evolving landscape of agricultural practices in the context of environmental sustainability and inclusive rural development. It calls for readers' attention to more environmentally conscious and innovative approaches to agricultural production and rural development.

Vol 2, No 1 (2021)

The emergence of agricultural robot technology is prominently featured, signifying a pivotal shift towards automation and mechanization in farming practices. This trend underscores the industry's growing reliance on robotics to enhance operational efficiency, optimize resource utilization, and revolutionize traditional agricultural processes. This selection of topics encompasses a diverse array of technological advancements and innovative approaches within the realm of agriculture, encouraging further studies to integrate cutting-edge technologies and innovative practices. Such endeavors aim to address various challenges and drive sustainable development in the agricultural sector.

2020

Vol 1, No 1 (2020)

In today's research landscape, there is a growing emphasis on the significance of considering local conditions and community perspectives in the pursuit of sustainable agricultural development. Agroecology, with its focus on ecological principles and relationships within agricultural systems, particularly in the context of climate change adaptation, has emerged as a pivotal area of interest. The latest issue encompasses a diverse array of topics related to agriculture, including agroecology, modern agricultural practices, climate change adaptation, and sustainable agricultural development. Through this issue, we aim to provide readers with insights into the integration of ecological, social, and economic dimensions to foster the creation of resilient and sustainable agricultural systems.

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Editor-in-Chief

Prof. Zhengjun Qiu

Zhejiang University, China

Honorary Editor-in-Chief

Cheng Sun

Academician of World Academy of Productivity Science; Executive Chairman, World Confederation of Productivity Science China Chapter, China

Indexing & Archiving

News & Announcements

2025-02-01

Highlight article: Innovations in Modern Agriculture: UAVs and CNNs Transform Cotton Water Stress Monitoring

In the realm of modern agriculture, the integration of cutting-edge technologies is revolutionizing the way we approach sustainable farming practices. A recent study published in Advances in Modern Agriculture titled "Classification of cotton water stress using convolutional neural networks and UAV-based RGB imagery" has garnered significant attention for its innovative approach to precision irrigation management. Conducted by researchers from Institute of Data Science and the AgriLife Research and Extension Center of Texas A&M University (authors's information is below). This study introduces a novel method for classifying cotton water stress using unmanned aerial vehicles (UAVs) and convolutional neural networks (CNNs), offering a powerful solution for optimizing water use in agriculture.

2024-09-11

Smart agriculture is becoming a reality!

Modern agricultural technology is evolving rapidly, with scientists collaborating with leading agricultural enterprises to develop intelligent management practices. These practices utilize advanced systems that provide tailored fertilization and treatment options for large-scale land management.

2024-05-01

Notice on the prohibition of using AI techniques to generate papers!

This journal values human initiative and intelligence, and the employment of AI technologies to write papers that replace the human mind is expressly prohibited. When there is a suspicious submission that uses AI tools to quickly piece together and generate research results, the editorial board of the journal will reject the article, and all journals under the publisher's umbrella will prohibit all authors from submitting their articles.

Readers and authors are asked to exercise caution and strictly adhere to the journal's policy regarding the usage of Artificial Intelligence Generated Content (AIGC) tools.

More Announcements...

Journal Center

Asia Pacific Academy of Science Pte. Ltd. (APACSCI) specializes in international journal publishing. APACSCI adopts the open access publishing model and provides an important communication bridge for academic groups whose interest fields include engineering, technology, medicine, computer, mathematics, agriculture and forestry, and environment.

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