Soil fertility appraisal for apple orchards of Himachal Pradesh using GPS and GIS techniques

Sharma, Rakesh; Sood, Kunal

doi:10.5958/0974-0112.2019.00067.7

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Orchard mapping and area of arable land estimation: Sharma and Pangrahi [81] conducted research to create a block-by-block database on apple plantations in the Himachal Pradesh district of Shimla. High resolution remote sensing data from the most advanced Indian Remote Sensing (IRS) satellite P6 was used to map apple orchards.…”

Section: Application Of Remote Sensing In Fruit Cropsmentioning

confidence: 99%

Revolutionary Technologies in Horticultural Crops: A Review

Kale,

Sahrawat,

Sangwan

et al. 2024

J. Adv. Biol. Biotechnol.

View full text Add to dashboard Cite

Globally, the topic of agricultural automation is becoming more and more popular. Crop management system enables the systematic management of crops, incorporating all aspects of farming. India offers the opportunity to grow a wide variety of horticultural crops due to its diverse soil and climate conditions as well as its varied agro-ecological regions. These crops enhance farm output, generate employment opportunities, and supply raw materials to a variety of food-processing industries, all of which have a substantial positive economic impact on India. Although very little area is set specifically for horticulture, there is a strong demand for the production of horticulture crops. As a result, it can be difficult to meet demand with the least amount of resources. However, this can be done by introducing revolutionary technological interventions, such as nuclear technology, artificial intelligence, blockchain technology, Internet of Things technological interventions, remote sensing, various breeding programs, hydroponics systems, and others. Remote sensing technologies for monitoring and recognizing plants, weeds, pests, and diseases have been developed and used by means of recent advancements in computer vision, robotics, artificial intelligence, and machine learning. Numerous studies examine the new digital tools and services that farmers may use to purchase inputs, handle their money, and obtain input-output pricing and farm management data.

show abstract

Section: Application Of Remote Sensing In Fruit Cropsmentioning

confidence: 99%