Author: Hema Mohan

The integration of Geographic Information Systems (GIS) and Light Detection and Ranging (LiDAR) technology with drones is revolutionizing modern agriculture. With the global population exceeding 7.9 billion in 2021, there is increasing pressure on the agricultural sector to adopt smarter, more efficient practices. Combining GIS and LiDAR with drones provides innovative solutions, automating traditional farming processes and enabling continuous field operations, even in low-light conditions. This technological synergy supports detailed agricultural mapping, remote sensing, and precision farming, allowing farmers to monitor crop health, optimize resource use, and reduce operational costs. By providing accurate spatial data and actionable insights, GIS and…

Drone technology has experienced remarkable growth over the past decade, with agriculture emerging as one of its most transformative applications. The integration of drones also known as Unmanned Aerial Vehicles (UAVs) or Remotely Piloted Aircraft Systems (RPAS) into farming has revolutionized efficiency, precision, and sustainability in agricultural practices. Unlike larger manned aircraft, drones provide a safer and more cost-effective way to survey farmland, delivering real-time imagery and sensor data from areas that are often inaccessible by foot or vehicle. This capability supports advanced crop health monitoring, GIS-based mapping, and data-driven decision-making, ultimately leading to improved yields, reduced costs, and smarter…

Agriculture is entering a new era where innovation meets efficiency, and drone mapping is at the center of this revolution. Farmers are no longer limited to guesswork or outdated methods; instead, they rely on precise, real-time data gathered from the skies. Drones equipped with advanced sensors provide sharp insights into crop health, soil conditions, water usage, pest detection, and yield predictions. With this technology, decisions become smarter, faster, and more sustainable. Beyond boosting productivity, drone mapping helps reduce costs, cut waste, and lessen environmental damage. The result is a farming practice that not only delivers bigger harvests but also ensures…

Monitoring crops for nutrient deficiencies, water stress, diseases, insect infestations, and overall plant health is a crucial component of successful agricultural management. Traditionally, this has been done through visual inspections, either on the ground or from the air. However, these methods are inherently limited by the human eye’s ability to distinguish between healthy plants and those under stress. Often, specific problems must reach an advanced stage before symptoms become noticeable, even to experienced observers. Modern precision agriculture addresses these challenges through site-specific management strategies aimed at maximizing yield and resource efficiency while minimizing environmental impacts, such as over-fertilization and widespread…

guesswork to assess crop health. Today, however, tech-savvy kisans are deploying DJI drones over their fields, capturing multispectral data and optimizing yields like never before. This is Agriculture 2.0 a new era in Indian farming powered by DJI’s cutting-edge drone technology. Agriculture contributes over 18% to India’s GDP and employs nearly 60% of the population. Even small improvements in yield or efficiency can create a massive national impact. DJI’s Agras and Matrice series are enabling farmers to achieve this transformation, delivering precision farming through aerial insights, variable-rate spraying, and advanced crop health monitoring. By blending tradition with innovation, DJI drones…

Agriculture consumes nearly 69% of the world’s freshwater, underscoring the urgent need for smarter water management. AI-driven precision agriculture is revolutionizing how water is used in farming, offering a powerful solution to the growing challenge of global water scarcity. The results are impressive. In Australia, the COALA project improved irrigation efficiency by 20%, while boosting crop yields by 20–30%. This means farmers save water, grow more, and protect the environment at the same time. At the heart of this change are smart irrigation systems powered by AI. These systems collect real-time data on soil moisture, weather patterns, and crop needs.…

Geospatial technology in agriculture is transforming food production, resource management, and the way farmers tackle global challenges. Satellite imagery, GIS tools, remote sensing, and AI-driven platforms like Farmonaut now allow farmers to collect, analyze, and act on data with unmatched precision—from soil preparation to harvesting and beyond. These tools provide actionable insights that were once unimaginable, turning complex farming decisions into data-driven strategies. Advancements in geospatial tech empower farmers to monitor crop health, optimize irrigation, predict yields, detect problems early, and integrate sustainable practices into daily operations. By combining innovation with real-world application, agriculture is becoming smarter, more efficient, and…

Sensoterra has partnered with the University of California, Davis (UC Davis) on a groundbreaking study to enhance the performance of its soil moisture sensors. Conducted in the laboratory, the research evaluated key factors affecting sensor accuracy, including salinity effects, sensor-to-sensor variability, and temperature dependency. As part of the study, three new calibration curves for American soils—Oso Flaco sand, Columbia loam, and Yolo clay loam were added to the Sensoterra app, improving precision for diverse agricultural conditions. This collaboration demonstrates Sensoterra’s commitment to scientific rigor and innovative solutions for smarter water management. The results of this exceptional partnership were published in…

Modern agriculture faces a paradox: technological advances have boosted crop yields, yet conventional practices often cause soil degradation, overuse of fertilizers, and loss of biodiversity. Precision agriculture seeks to resolve these challenges by utilizing real-time data to optimize farming decisions. Central to this approach is soil health monitoring. Traditional methods, such as soil sampling and laboratory analysis, are labor-intensive, costly, and fail to provide continuous insights into dynamic soil conditions. Without timely data, irrigation, fertilization, and pesticide applications are often based on estimates, leading to inefficiencies and environmental harm. Biodegradable sensors offer a transformative solution, providing continuous, real-time monitoring while…

Selecting the right soil sensor is crucial for maximizing crop health and improving farm productivity. With a variety of sensors available on the market ranging from moisture and nutrient monitors to pH and temperature detectors farmers often face the challenge of identifying which one suits their specific needs. The ideal sensor depends on factors such as crop type, soil composition, field size, and the level of automation desired. Choosing the wrong sensor can lead to inaccurate data, wasted resources, and missed opportunities for optimizing yields. In this guide, we break down the key types of soil sensors, their benefits, and…